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https://api.github.com/repos/ollama/ollama/issues/6768 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6768/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6768/comments | https://api.github.com/repos/ollama/ollama/issues/6768/events | https://github.com/ollama/ollama/issues/6768 | 2,521,074,994 | I_kwDOJ0Z1Ps6WRI0y | 6,768 | Model update history on ollama.com | {
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| null | {
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https://api.github.com/repos/ollama/ollama/issues/5549 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5549/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5549/comments | https://api.github.com/repos/ollama/ollama/issues/5549/events | https://github.com/ollama/ollama/issues/5549 | 2,396,442,078 | I_kwDOJ0Z1Ps6O1s3e | 5,549 | Account removal on ollama.com | {
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} | null | null | null | Please add a "remove account" button on the website. Thank you! | {
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https://api.github.com/repos/ollama/ollama/issues/6114 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6114/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6114/comments | https://api.github.com/repos/ollama/ollama/issues/6114/events | https://github.com/ollama/ollama/issues/6114 | 2,441,618,319 | I_kwDOJ0Z1Ps6RiCOP | 6,114 | llama3-groq-tool-use can't request 2 tools at once but llama3.1 could do it | {
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} | null | null | null | ### What is the issue?
**My code is following**
model = ChatOllama(model="llama3.1")
from langchain_core.pydantic_v1 import BaseModel, Field
def add(a: int, b: int) -> int:
"""Add two integers.
Args:
a: First integer
b: Second integer
"""
return a + b
def multiply(a: int, b: int) -> int:
"""Multiply two integers.
Args:
a: First integer
b: Second integer
"""
return a * b
llm_with_tools = model.bind_tools([add, multiply])
messages = [
HumanMessage("What is 3 * 12? Also, what is 11 + 49?"),
]
ai_msg = llm_with_tools.invoke(
messages
)
print(ai_msg.tool_calls)
**The output is**
[{'name': 'multiply', 'args': {'a': 3, 'b': 12}, 'id': '75528960-e9fe-4166-b531-46992d58cbb3', 'type': 'tool_call'}, {'name': 'add', 'args': {'a': 11, 'b': 49}, 'id': '03576d56-4118-49d6-b410-d02f88447dd7', 'type': 'tool_call'}]
**When I change the model name to "llama3-groq-tool-use" **
[{'name': 'multiply', 'args': {'a': 5, 'b': 5}, 'id': '6d9ced85-fdcc-441b-9b53-de609086d468', 'type': 'tool_call'}]
**Just one tool has been use
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
0.3.0 | null | {
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https://api.github.com/repos/ollama/ollama/issues/1684 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1684/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1684/comments | https://api.github.com/repos/ollama/ollama/issues/1684/events | https://github.com/ollama/ollama/pull/1684 | 2,054,596,822 | PR_kwDOJ0Z1Ps5isCaw | 1,684 | Guard integration tests with a tag | {
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} | [] | closed | false | null | [] | null | 0 | 2023-12-23T00:33:48 | 2023-12-23T00:43:44 | 2023-12-23T00:43:41 | COLLABORATOR | {
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"url": "https://api.github.com/repos/ollama/ollama/pulls/1684",
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} | This should help CI avoid running the integration test logic in a container where it's not currently possible. | {
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https://api.github.com/repos/ollama/ollama/issues/4619 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4619/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4619/comments | https://api.github.com/repos/ollama/ollama/issues/4619/events | https://github.com/ollama/ollama/pull/4619 | 2,316,015,016 | PR_kwDOJ0Z1Ps5wf4cx | 4,619 | Fix download retry issue | {
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} | [] | closed | false | null | [] | null | 7 | 2024-05-24T18:31:46 | 2024-08-02T13:17:50 | 2024-05-25T00:21:57 | CONTRIBUTOR | {
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} | Partial downloaded chunks currently resume incorrectly as the code tries to always download the full size of the chunk rather than the remaining size.
Fixes #4520 | {
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https://api.github.com/repos/ollama/ollama/issues/3979 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3979/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3979/comments | https://api.github.com/repos/ollama/ollama/issues/3979/events | https://github.com/ollama/ollama/issues/3979 | 2,267,100,130 | I_kwDOJ0Z1Ps6HITPi | 3,979 | Debian RISCV Build Failed | {
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} | null | null | null | ### What is the issue?
```
# sipeed @ lpi4a in ~/ollama on git:main o [0:57:45]
$ go build .
# github.com/chewxy/math32
../go/pkg/mod/github.com/chewxy/[email protected]/exp.go:3:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/exp.go:57:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/sqrt.go:3:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/log.go:76:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/remainder.go:33:6: missing function body
```
Full Log
```
# sipeed @ lpi4a in ~ [0:40:28]
$ gcc -v
使用内建 specs。
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/libexec/gcc/riscv64-linux-gnu/13/lto-wrapper
目标：riscv64-linux-gnu
配置为：../src/configure -v --with-pkgversion='Debian 13.2.0-4revyos3' --with-bugurl=file:///usr/share/doc/gcc-13/README.Bugs --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --prefix=/usr --with-gcc-major-version-only --program-suffix=-13 --program-prefix=riscv64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/libexec --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-libitm --disable-libquadmath --disable-libquadmath-support --enable-plugin --enable-default-pie --with-system-zlib --enable-libphobos-checking=release --with-target-system-zlib=auto --enable-objc-gc=auto --enable-multiarch --disable-werror --disable-multilib --with-arch=rv64gc_zfh_xtheadba_xtheadbb_xtheadbs_xtheadcmo_xtheadcondmov_xtheadfmemidx_xtheadfmv_xtheadint_xtheadmac_xtheadmemidx_xtheadmempair_xtheadsync --with-abi=lp64d --enable-checking=release --build=riscv64-linux-gnu --host=riscv64-linux-gnu --target=riscv64-linux-gnu --with-build-config=bootstrap-lto-lean --enable-link-serialization=32
线程模型：posix
支持的 LTO 压缩算法：zlib zstd
gcc 版本 13.2.0 (Debian 13.2.0-4revyos3)
# sipeed @ lpi4a in ~ [0:40:31]
$ cd ollama
# sipeed @ lpi4a in ~/ollama on git:main o [0:40:36]
$ go generate ./...
go: downloading go1.22.0 (linux/riscv64)
go: downloading github.com/spf13/cobra v1.7.0
go: downloading github.com/google/uuid v1.0.0
go: downloading golang.org/x/crypto v0.14.0
go: downloading github.com/containerd/console v1.0.3
go: downloading golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63
go: downloading github.com/olekukonko/tablewriter v0.0.5
go: downloading golang.org/x/term v0.13.0
go: downloading github.com/d4l3k/go-bfloat16 v0.0.0-20211005043715-690c3bdd05f1
go: downloading github.com/mitchellh/mapstructure v1.5.0
go: downloading github.com/nlpodyssey/gopickle v0.3.0
go: downloading github.com/pdevine/tensor v0.0.0-20240228013915-64ccaa8d9ca9
go: downloading github.com/x448/float16 v0.8.4
go: downloading google.golang.org/protobuf v1.30.0
go: downloading golang.org/x/sys v0.13.0
go: downloading golang.org/x/sync v0.3.0
go: downloading github.com/gin-gonic/gin v1.9.1
go: downloading github.com/emirpasic/gods v1.18.1
go: downloading github.com/gin-contrib/cors v1.4.0
go: downloading github.com/spf13/pflag v1.0.5
go: downloading github.com/mattn/go-runewidth v0.0.14
go: downloading golang.org/x/text v0.14.0
go: downloading github.com/pkg/errors v0.9.1
go: downloading github.com/apache/arrow/go/arrow v0.0.0-20201229220542-30ce2eb5d4dc
go: downloading github.com/chewxy/hm v1.0.0
go: downloading github.com/chewxy/math32 v1.0.8
go: downloading github.com/google/flatbuffers v1.12.0
go: downloading go4.org/unsafe/assume-no-moving-gc v0.0.0-20231121144256-b99613f794b6
go: downloading gonum.org/v1/gonum v0.8.2
go: downloading gorgonia.org/vecf32 v0.9.0
go: downloading gorgonia.org/vecf64 v0.9.0
go: downloading github.com/gin-contrib/sse v0.1.0
go: downloading github.com/mattn/go-isatty v0.0.19
go: downloading golang.org/x/net v0.17.0
go: downloading github.com/rivo/uniseg v0.2.0
go: downloading golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1
go: downloading github.com/xtgo/set v1.0.0
go: downloading github.com/gogo/protobuf v1.3.2
go: downloading github.com/golang/protobuf v1.5.0
go: downloading github.com/go-playground/validator/v10 v10.14.0
go: downloading github.com/pelletier/go-toml/v2 v2.0.8
go: downloading github.com/ugorji/go/codec v1.2.11
go: downloading gopkg.in/yaml.v3 v3.0.1
go: downloading github.com/gabriel-vasile/mimetype v1.4.2
go: downloading github.com/go-playground/universal-translator v0.18.1
go: downloading github.com/leodido/go-urn v1.2.4
go: downloading github.com/go-playground/locales v0.14.1
+ set -o pipefail
+ echo 'Starting linux generate script'
Starting linux generate script
+ '[' -z '' ']'
+ '[' -x /usr/local/cuda/bin/nvcc ']'
++ command -v nvcc
+ export CUDACXX=
+ CUDACXX=
+ COMMON_CMAKE_DEFS='-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off'
++ dirname ./gen_linux.sh
+ source ./gen_common.sh
+ init_vars
+ case "${GOARCH}" in
++ uname -m
++ sed -e s/aarch64/arm64/g
+ ARCH=riscv64
+ LLAMACPP_DIR=../llama.cpp
+ CMAKE_DEFS=
+ CMAKE_TARGETS='--target ollama_llama_server'
+ echo ''
+ grep -- -g
+ CMAKE_DEFS='-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off '
+ case $(uname -s) in
++ uname -s
+ LIB_EXT=so
+ WHOLE_ARCHIVE=-Wl,--whole-archive
+ NO_WHOLE_ARCHIVE=-Wl,--no-whole-archive
+ GCC_ARCH=
+ '[' -z '' ']'
+ CMAKE_CUDA_ARCHITECTURES='50;52;61;70;75;80'
+ git_module_setup
+ '[' -n '' ']'
+ '[' -d ../llama.cpp/gguf ']'
+ git submodule init
+ git submodule update --force ../llama.cpp
子模组路径 '../llama.cpp'：检出 '46e12c4692a37bdd31a0432fc5153d7d22bc7f72'
+ apply_patches
+ grep ollama ../llama.cpp/CMakeLists.txt
+ echo 'add_subdirectory(../ext_server ext_server) # ollama'
++ ls -A ../patches/02-clip-log.diff ../patches/03-load_exception.diff ../patches/04-metal.diff
+ '[' -n '../patches/02-clip-log.diff
../patches/03-load_exception.diff
../patches/04-metal.diff' ']'
+ for patch in ../patches/*.diff
++ grep '^+++ ' ../patches/02-clip-log.diff
++ cut -f2 '-d '
++ cut -f2- -d/
+ for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/)
+ cd ../llama.cpp
+ git checkout examples/llava/clip.cpp
从索引区更新了 0 个路径
+ for patch in ../patches/*.diff
++ grep '^+++ ' ../patches/03-load_exception.diff
++ cut -f2 '-d '
++ cut -f2- -d/
+ for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/)
+ cd ../llama.cpp
+ git checkout llama.cpp
从索引区更新了 0 个路径
+ for patch in ../patches/*.diff
++ grep '^+++ ' ../patches/04-metal.diff
++ cut -f2 '-d '
++ cut -f2- -d/
+ for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/)
+ cd ../llama.cpp
+ git checkout ggml-metal.m
从索引区更新了 0 个路径
+ for patch in ../patches/*.diff
+ cd ../llama.cpp
+ git apply ../patches/02-clip-log.diff
+ for patch in ../patches/*.diff
+ cd ../llama.cpp
+ git apply ../patches/03-load_exception.diff
+ for patch in ../patches/*.diff
+ cd ../llama.cpp
+ git apply ../patches/04-metal.diff
+ init_vars
+ case "${GOARCH}" in
++ uname -m
++ sed -e s/aarch64/arm64/g
+ ARCH=riscv64
+ LLAMACPP_DIR=../llama.cpp
+ CMAKE_DEFS=
+ CMAKE_TARGETS='--target ollama_llama_server'
+ echo ''
+ grep -- -g
+ CMAKE_DEFS='-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off '
+ case $(uname -s) in
++ uname -s
+ LIB_EXT=so
+ WHOLE_ARCHIVE=-Wl,--whole-archive
+ NO_WHOLE_ARCHIVE=-Wl,--no-whole-archive
+ GCC_ARCH=
+ '[' -z '50;52;61;70;75;80' ']'
+ '[' -z '' -o '' = static ']'
+ init_vars
+ case "${GOARCH}" in
++ uname -m
++ sed -e s/aarch64/arm64/g
+ ARCH=riscv64
+ LLAMACPP_DIR=../llama.cpp
+ CMAKE_DEFS=
+ CMAKE_TARGETS='--target ollama_llama_server'
+ echo ''
+ grep -- -g
+ CMAKE_DEFS='-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off '
+ case $(uname -s) in
++ uname -s
+ LIB_EXT=so
+ WHOLE_ARCHIVE=-Wl,--whole-archive
+ NO_WHOLE_ARCHIVE=-Wl,--no-whole-archive
+ GCC_ARCH=
+ '[' -z '50;52;61;70;75;80' ']'
+ CMAKE_TARGETS='--target llama --target ggml'
+ CMAKE_DEFS='-DBUILD_SHARED_LIBS=off -DLLAMA_NATIVE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off '
+ BUILD_DIR=../build/linux/riscv64_static
+ echo 'Building static library'
Building static library
+ build
+ cmake -S ../llama.cpp -B ../build/linux/riscv64_static -DBUILD_SHARED_LIBS=off -DLLAMA_NATIVE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off
-- The C compiler identification is GNU 13.2.0
-- The CXX compiler identification is GNU 13.2.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found Git: /usr/bin/git (found version "2.40.1")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Warning: ccache not found - consider installing it for faster compilation or disable this warning with LLAMA_CCACHE=OFF
-- CMAKE_SYSTEM_PROCESSOR: riscv64
-- Unknown architecture
-- Configuring done
-- Generating done
-- Build files have been written to: /home/sipeed/ollama/llm/build/linux/riscv64_static
+ cmake --build ../build/linux/riscv64_static --target llama --target ggml -j8
[ 0%] Building C object CMakeFiles/ggml.dir/ggml-alloc.c.o
[ 0%] Building C object CMakeFiles/ggml.dir/ggml-quants.c.o
[ 20%] Building C object CMakeFiles/ggml.dir/ggml-backend.c.o
[ 40%] Building C object CMakeFiles/ggml.dir/ggml.c.o
[ 60%] Building CXX object CMakeFiles/ggml.dir/sgemm.cpp.o
[ 60%] Built target ggml
[100%] Building CXX object CMakeFiles/llama.dir/unicode.cpp.o
[100%] Building CXX object CMakeFiles/llama.dir/llama.cpp.o
[100%] Building CXX object CMakeFiles/llama.dir/unicode-data.cpp.o
[100%] Linking CXX static library libllama.a
[100%] Built target llama
[100%] Built target ggml
+ init_vars
+ case "${GOARCH}" in
++ uname -m
++ sed -e s/aarch64/arm64/g
+ ARCH=riscv64
+ LLAMACPP_DIR=../llama.cpp
+ CMAKE_DEFS=
+ CMAKE_TARGETS='--target ollama_llama_server'
+ echo ''
+ grep -- -g
+ CMAKE_DEFS='-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off '
+ case $(uname -s) in
++ uname -s
+ LIB_EXT=so
+ WHOLE_ARCHIVE=-Wl,--whole-archive
+ NO_WHOLE_ARCHIVE=-Wl,--no-whole-archive
+ GCC_ARCH=
+ '[' -z '50;52;61;70;75;80' ']'
+ '[' -z '' ']'
+ '[' -n '' ']'
+ COMMON_CPU_DEFS='-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off'
+ '[' -z '' -o '' = cpu ']'
+ init_vars
+ case "${GOARCH}" in
++ uname -m
++ sed -e s/aarch64/arm64/g
+ ARCH=riscv64
+ LLAMACPP_DIR=../llama.cpp
+ CMAKE_DEFS=
+ CMAKE_TARGETS='--target ollama_llama_server'
+ echo ''
+ grep -- -g
+ CMAKE_DEFS='-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off '
+ case $(uname -s) in
++ uname -s
+ LIB_EXT=so
+ WHOLE_ARCHIVE=-Wl,--whole-archive
+ NO_WHOLE_ARCHIVE=-Wl,--no-whole-archive
+ GCC_ARCH=
+ '[' -z '50;52;61;70;75;80' ']'
+ CMAKE_DEFS='-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off '
+ BUILD_DIR=../build/linux/riscv64/cpu
+ echo 'Building LCD CPU'
Building LCD CPU
+ build
+ cmake -S ../llama.cpp -B ../build/linux/riscv64/cpu -DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off
-- The C compiler identification is GNU 13.2.0
-- The CXX compiler identification is GNU 13.2.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found Git: /usr/bin/git (found version "2.40.1")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Warning: ccache not found - consider installing it for faster compilation or disable this warning with LLAMA_CCACHE=OFF
-- CMAKE_SYSTEM_PROCESSOR: riscv64
-- Unknown architecture
-- Configuring done
-- Generating done
-- Build files have been written to: /home/sipeed/ollama/llm/build/linux/riscv64/cpu
+ cmake --build ../build/linux/riscv64/cpu --target ollama_llama_server -j8
[ 7%] Generating build details from Git
[ 14%] Building C object CMakeFiles/ggml.dir/ggml-alloc.c.o
[ 14%] Building C object CMakeFiles/ggml.dir/ggml.c.o
[ 21%] Building C object CMakeFiles/ggml.dir/ggml-backend.c.o
-- Found Git: /usr/bin/git (found version "2.40.1")
[ 28%] Building CXX object CMakeFiles/ggml.dir/sgemm.cpp.o
[ 28%] Building C object CMakeFiles/ggml.dir/ggml-quants.c.o
[ 28%] Building CXX object common/CMakeFiles/build_info.dir/build-info.cpp.o
[ 28%] Built target build_info
[ 28%] Built target ggml
[ 42%] Building CXX object CMakeFiles/llama.dir/unicode.cpp.o
[ 42%] Building CXX object CMakeFiles/llama.dir/llama.cpp.o
[ 42%] Building CXX object CMakeFiles/llama.dir/unicode-data.cpp.o
[ 42%] Linking CXX static library libllama.a
[ 42%] Built target llama
[ 50%] Building CXX object examples/llava/CMakeFiles/llava.dir/llava.cpp.o
[ 57%] Building CXX object common/CMakeFiles/common.dir/common.cpp.o
[ 64%] Building CXX object examples/llava/CMakeFiles/llava.dir/clip.cpp.o
[ 64%] Building CXX object common/CMakeFiles/common.dir/sampling.cpp.o
[ 71%] Building CXX object common/CMakeFiles/common.dir/console.cpp.o
[ 78%] Building CXX object common/CMakeFiles/common.dir/json-schema-to-grammar.cpp.o
[ 78%] Building CXX object common/CMakeFiles/common.dir/grammar-parser.cpp.o
[ 85%] Building CXX object common/CMakeFiles/common.dir/train.cpp.o
[ 85%] Building CXX object common/CMakeFiles/common.dir/ngram-cache.cpp.o
[ 85%] Built target llava
[ 92%] Linking CXX static library libcommon.a
[ 92%] Built target common
[ 92%] Building CXX object ext_server/CMakeFiles/ollama_llama_server.dir/server.cpp.o
[100%] Linking CXX executable ../bin/ollama_llama_server
[100%] Built target ollama_llama_server
+ compress
+ echo 'Compressing payloads to reduce overall binary size...'
Compressing payloads to reduce overall binary size...
+ pids=
+ rm -rf '../build/linux/riscv64/cpu/bin/*.gz'
+ for f in ${BUILD_DIR}/bin/*
+ pids+=' 101756'
+ gzip -n --best -f ../build/linux/riscv64/cpu/bin/ollama_llama_server
+ '[' -d ../build/linux/riscv64/cpu/lib ']'
+ echo
+ for pid in ${pids}
+ wait 101756
+ echo 'Finished compression'
Finished compression
+ '[' riscv64 == x86_64 ']'
+ '[' -z '' ']'
+ '[' -d /usr/local/cuda/lib64 ']'
+ '[' -z '' ']'
+ '[' -d /opt/cuda/targets/x86_64-linux/lib ']'
+ '[' -z '' ']'
+ CUDART_LIB_DIR=
+ '[' -d '' ']'
+ '[' -z '' ']'
+ ROCM_PATH=/opt/rocm
+ '[' -z '' ']'
+ '[' -d /usr/lib/cmake/CLBlast ']'
+ '[' -d /opt/rocm ']'
+ cleanup
+ cd ../llama.cpp/
+ git checkout CMakeLists.txt
从索引区更新了 1 个路径
++ ls -A ../patches/02-clip-log.diff ../patches/03-load_exception.diff ../patches/04-metal.diff
+ '[' -n '../patches/02-clip-log.diff
../patches/03-load_exception.diff
../patches/04-metal.diff' ']'
+ for patch in ../patches/*.diff
++ grep '^+++ ' ../patches/02-clip-log.diff
++ cut -f2 '-d '
++ cut -f2- -d/
+ for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/)
+ cd ../llama.cpp
+ git checkout examples/llava/clip.cpp
从索引区更新了 1 个路径
+ for patch in ../patches/*.diff
++ grep '^+++ ' ../patches/03-load_exception.diff
++ cut -f2 '-d '
++ cut -f2- -d/
+ for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/)
+ cd ../llama.cpp
+ git checkout llama.cpp
从索引区更新了 1 个路径
+ for patch in ../patches/*.diff
++ grep '^+++ ' ../patches/04-metal.diff
++ cut -f2 '-d '
++ cut -f2- -d/
+ for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/)
+ cd ../llama.cpp
+ git checkout ggml-metal.m
从索引区更新了 1 个路径
++ cd ../build/linux/riscv64/cpu/..
++ echo cpu
+ echo 'go generate completed. LLM runners: cpu'
go generate completed. LLM runners: cpu
# sipeed @ lpi4a in ~/ollama on git:main o [0:57:45]
$ go build .
# github.com/chewxy/math32
../go/pkg/mod/github.com/chewxy/[email protected]/exp.go:3:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/exp.go:57:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/sqrt.go:3:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/log.go:76:6: missing function body
../go/pkg/mod/github.com/chewxy/[email protected]/remainder.go:33:6: missing function body
# sipeed @ lpi4a in ~/ollama on git:main o [0:58:52] C:1
$ ll
总计 148K
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 api
drwxr-xr-x 6 sipeed sipeed 4.0K 4月28日 00:10 app
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 auth
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 cmd
drwxr-xr-x 3 sipeed sipeed 4.0K 4月28日 00:10 convert
-rw-r--r-- 1 sipeed sipeed 6.1K 4月28日 00:10 Dockerfile
drwxr-xr-x 3 sipeed sipeed 4.0K 4月28日 00:10 docs
drwxr-xr-x 26 sipeed sipeed 4.0K 4月28日 00:10 examples
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 format
-rw-r--r-- 1 sipeed sipeed 2.9K 4月28日 00:10 go.mod
-rw-r--r-- 1 sipeed sipeed 29K 4月28日 00:10 go.sum
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 gpu
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 integration
-rw-r--r-- 1 sipeed sipeed 1.1K 4月28日 00:10 LICENSE
drwxr-xr-x 7 sipeed sipeed 4.0K 4月28日 00:42 llm
drwxr-xr-x 4 sipeed sipeed 4.0K 4月28日 00:10 macapp
-rw-r--r-- 1 sipeed sipeed 179 4月28日 00:10 main.go
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 openai
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 parser
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 progress
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 readline
-rw-r--r-- 1 sipeed sipeed 15K 4月28日 00:10 README.md
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 scripts
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 server
drwxr-xr-x 4 sipeed sipeed 4.0K 4月28日 00:10 types
drwxr-xr-x 2 sipeed sipeed 4.0K 4月28日 00:10 version
```
### OS
Linux
### GPU
Other
### CPU
Other
### Ollama version
git version | {
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"id": 1161594,
"node_id": "MDQ6VXNlcjExNjE1OTQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/1161594?v=4",
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"url": "https://api.github.com/users/HougeLangley",
"html_url": "https://github.com/HougeLangley",
"followers_url": "https://api.github.com/users/HougeLangley/followers",
"following_url": "https://api.github.com/users/HougeLangley/following{/other_user}",
"gists_url": "https://api.github.com/users/HougeLangley/gists{/gist_id}",
"starred_url": "https://api.github.com/users/HougeLangley/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/HougeLangley/subscriptions",
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Good to prepare for job interviews. | {
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This also removes the existence check for pulled images which @BruceMacD will address server side | {
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} | This prevents show outputs like this:
```
ollama run mistral
>>> /show modelfile
# Modelfile generated by "ollama show"
# To build a new Modelfile based on this one, replace the FROM line with:
# FROM mistral:latest
FROM registry.ollama.ai/library/mistral:latest
TEMPLATE """[INST] {{ .Prompt }} [/INST]
"""
SYSTEM """"""
``` | {
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Moondream latest
>>> help, im dying
1. Helping you to understand the concept of a
hash table and its implementation in Python.
### OS
Linux
### GPU
Other
### CPU
Other
### Ollama version
0.3.6 | {
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"total": 0,
"completed": 0,
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} | null | null | null | ### What is the issue?
When executing "ollama run qwen2" in the Nvidia Jetson AGX Orin environment, a "terminated" error was returned. Could you please help me identify the cause?
```
(ollama) nvidia@ubuntu:~$ ollama run qwen2
Error: llama runner process has terminated: CUDA error: the resource allocation failed
current device: 0, in function cublas_handle at /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda/common.cuh:644
cublasCreate_v2(&cublas_handles[device])
/go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda.cu:101: CUDA error
```
**(1) Environment and version information:**
Device: Nvidia Jetson AGX Orin
CPU: 12 cores with a frequency of 2.2GHz
Memory: 64GB
GPU: 1.3GHz
Operating System: Ubuntu 22.04.4 LTS
Ollama Version: 0.3.7-rc6
cuda information(cuda-12)：
```
(ollama) nvidia@ubuntu:~$ jetson_release
Software part of jetson-stats 4.2.9 - (c) 2024, Raffaello Bonghi
Model: NVIDIA Jetson AGX Orin Developer Kit - Jetpack 6.0 [L4T 36.3.0]
NV Power Mode[0]: MAXN
Serial Number: [XXX Show with: jetson_release -s XXX]
Hardware:
- P-Number: p3701-0005
- Module: NVIDIA Jetson AGX Orin (64GB ram)
Platform:
- Distribution: Ubuntu 22.04 Jammy Jellyfish
- Release: 5.15.136-tegra
jtop:
- Version: 4.2.9
- Service: Active
Libraries:
- CUDA: 12.2.140
- cuDNN: 8.9.4.25
- TensorRT: 8.6.2.3
- VPI: 3.1.5
- Vulkan: 1.3.204
- OpenCV: 4.8.0 - with CUDA: NO
```
**(2) Log from ollama.service in DEBUG mode:**
```
Aug 26 20:32:03 ubuntu ollama[31981]: CUDA error: the resource allocation failed
Aug 26 20:32:03 ubuntu ollama[31981]: current device: 0, in function cublas_handle at /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda/common.cuh:644
Aug 26 20:32:03 ubuntu ollama[31981]: cublasCreate_v2(&cublas_handles[device])
Aug 26 20:32:03 ubuntu ollama[31981]: /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda.cu:101: CUDA error
Aug 26 20:32:03 ubuntu ollama[31981]: Could not attach to process. If your uid matches the uid of the target
Aug 26 20:32:03 ubuntu ollama[31981]: process, check the setting of /proc/sys/kernel/yama/ptrace_scope, or try
Aug 26 20:32:03 ubuntu ollama[31981]: again as the root user. For more details, see /etc/sysctl.d/10-ptrace.conf
Aug 26 20:32:03 ubuntu ollama[31981]: ptrace: Inappropriate ioctl for device.
Aug 26 20:32:03 ubuntu ollama[31981]: No stack.
Aug 26 20:32:03 ubuntu ollama[31981]: The program is not being run.
Aug 26 20:32:04 ubuntu ollama[31981]: time=2024-08-26T20:32:04.025+08:00 level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server error"
Aug 26 20:32:04 ubuntu ollama[31981]: time=2024-08-26T20:32:04.025+08:00 level=DEBUG source=server.go:639 msg="model load completed, waiting for server to become available" status="llm server error"
Aug 26 20:32:04 ubuntu ollama[31981]: time=2024-08-26T20:32:04.053+08:00 level=DEBUG source=server.go:431 msg="llama runner terminated" error="signal: aborted (core dumped)"
Aug 26 20:32:04 ubuntu ollama[31981]: time=2024-08-26T20:32:04.275+08:00 level=ERROR source=sched.go:456 msg="error loading llama server" error="llama runner process has terminated: CUDA error: the resource allocation failed\n current device: 0, in function cublas_handle at /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda/common.cuh:644\n cublasCreate_v2(&cublas_handles[device])\n/go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda.cu:101: CUDA error"
Aug 26 20:32:04 ubuntu ollama[31981]: time=2024-08-26T20:32:04.275+08:00 level=DEBUG source=sched.go:459 msg="triggering expiration for failed load" model=/usr/share/ollama/.ollama/models/blobs/sha256-43f7a214e5329f672bb05404cfba1913cbb70fdaa1a17497224e1925046b0ed5
```
### OS
Linux
### GPU
Nvidia
### CPU
Other
### Ollama version
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} | null | null | null | ### What is the issue?
ollama is not utilizing GPU
this is what i get in Ubuntu terminal
```
[+] Running 2/0
✔ Container local_multimodal_ai-ollama-1 Created 0.0s
✔ Container local_multimodal_ai-app-1 Created 0.0s
Attaching to app-1, ollama-1
ollama-1 | 2024/09/25 17:46:47 routes.go:1125: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://0.0.0.0:11434 OLLAMA_INTEL_GPU:false OLLAMA_KEEP_ALIVE:5m0s OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:15m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/root/.ollama/models OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:0 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://*] OLLAMA_RUNNERS_DIR: OLLAMA_SCHED_SPREAD:false OLLAMA_TMPDIR: ROCR_VISIBLE_DEVICES:]"
ollama-1 | time=2024-09-25T17:46:47.254Z level=INFO source=images.go:753 msg="total blobs: 28"
ollama-1 | time=2024-09-25T17:46:47.320Z level=INFO source=images.go:760 msg="total unused blobs removed: 0"
ollama-1 | time=2024-09-25T17:46:47.391Z level=INFO source=routes.go:1172 msg="Listening on [::]:11434 (version 0.3.10)"
ollama-1 | time=2024-09-25T17:46:47.394Z level=INFO source=payload.go:30 msg="extracting embedded files" dir=/tmp/ollama80602225/runners
app-1 |
app-1 | Collecting usage statistics. To deactivate, set browser.gatherUsageStats to false.
app-1 |
app-1 |
app-1 | You can now view your Streamlit app in your browser.
app-1 |
app-1 | Local URL: http://localhost:8501
app-1 | Network URL: http://172.18.0.3:8501
app-1 | External URL: http://103.110.166.152:8501
app-1 |
ollama-1 | time=2024-09-25T17:46:55.459Z level=INFO source=payload.go:44 msg="Dynamic LLM libraries [rocm_v60102 cpu cpu_avx cpu_avx2 cuda_v11 cuda_v12]"
ollama-1 | time=2024-09-25T17:46:55.460Z level=INFO source=gpu.go:200 msg="looking for compatible GPUs"
ollama-1 | time=2024-09-25T17:46:55.538Z level=INFO source=gpu.go:568 msg="unable to load cuda driver library" library=/usr/lib/x86_64-linux-gnu/libcuda.so.1 error="cuda driver library init failure: 500"
ollama-1 | time=2024-09-25T17:46:55.539Z level=INFO source=gpu.go:568 msg="unable to load cuda driver library" library=/usr/lib/wsl/drivers/nvaci.inf_amd64_bcb4d5d133099d13/libcuda.so.1.1 error="cuda driver library init failure: 500"
ollama-1 | time=2024-09-25T17:46:55.552Z level=INFO source=gpu.go:347 msg="no compatible GPUs were discovered"
ollama-1 | time=2024-09-25T17:46:55.552Z level=INFO source=types.go:107 msg="inference compute" id=0 library=cpu variant=avx2 compute="" driver=0.0 name="" total="7.6 GiB" available="6.5 GiB"
^CGracefully stopping... (press Ctrl+C again to force)
[+] Stopping 2/2
✔ Container local_multimodal_ai-app-1 Stopped 10.4s
✔ Container local_multimodal_ai-ollama-1 Stopped 0.6s
canceled
paramubuntu@LAPTOP-AF3LO3NQ:/mnt/c/Users/Param Jethwa/Desktop/local_multimodal_ai$ sudo systemctl restart docker
[sudo] password for paramubuntu:
paramubuntu@LAPTOP-AF3LO3NQ:/mnt/c/Users/Param Jethwa/Desktop/local_multimodal_ai$ docker compose down
[+] Running 3/3
✔ Container local_multimodal_ai-app-1 Removed 0.0s
✔ Container local_multimodal_ai-ollama-1 Removed 0.0s
✔ Network local_multimodal_ai_default Removed 0.5s
paramubuntu@LAPTOP-AF3LO3NQ:/mnt/c/Users/Param Jethwa/Desktop/local_multimodal_ai$ sudo systemctl restart docker
paramubuntu@LAPTOP-AF3LO3NQ:/mnt/c/Users/Param Jethwa/Desktop/local_multimodal_ai$ docker compose up --gpus all
unknown flag: --gpus
paramubuntu@LAPTOP-AF3LO3NQ:/mnt/c/Users/Param Jethwa/Desktop/local_multimodal_ai$ docker compose up --runtime=nvidia
unknown flag: --runtime
paramubuntu@LAPTOP-AF3LO3NQ:/mnt/c/Users/Param Jethwa/Desktop/local_multimodal_ai$ docker run --gpus all
"docker run" requires at least 1 argument.
See 'docker run --help'.
Usage: docker run [OPTIONS] IMAGE [COMMAND] [ARG...]
Create and run a new container from an image
paramubuntu@LAPTOP-AF3LO3NQ:/mnt/c/Users/Param Jethwa/Desktop/local_multimodal_ai$ docker compose up
[+] Running 3/1
✔ Network local_multimodal_ai_default Created 0.1s
✔ Container local_multimodal_ai-ollama-1 Created 0.0s
✔ Container local_multimodal_ai-app-1 Created 0.0s
Attaching to app-1, ollama-1
ollama-1 | 2024/09/25 17:51:02 routes.go:1125: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://0.0.0.0:11434 OLLAMA_INTEL_GPU:false OLLAMA_KEEP_ALIVE:5m0s OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:15m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/root/.ollama/models OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:0 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://*] OLLAMA_RUNNERS_DIR: OLLAMA_SCHED_SPREAD:false OLLAMA_TMPDIR: ROCR_VISIBLE_DEVICES:]"
ollama-1 | time=2024-09-25T17:51:02.311Z level=INFO source=images.go:753 msg="total blobs: 28"
ollama-1 | time=2024-09-25T17:51:02.375Z level=INFO source=images.go:760 msg="total unused blobs removed: 0"
ollama-1 | time=2024-09-25T17:51:02.435Z level=INFO source=routes.go:1172 msg="Listening on [::]:11434 (version 0.3.10)"
ollama-1 | time=2024-09-25T17:51:02.437Z level=INFO source=payload.go:30 msg="extracting embedded files" dir=/tmp/ollama1976662840/runners
app-1 |
app-1 | Collecting usage statistics. To deactivate, set browser.gatherUsageStats to false.
app-1 |
app-1 |
app-1 | You can now view your Streamlit app in your browser.
app-1 |
app-1 | Local URL: http://localhost:8501
app-1 | Network URL: http://172.18.0.3:8501
app-1 | External URL: http://103.110.166.152:8501
app-1 |
ollama-1 | time=2024-09-25T17:51:10.557Z level=INFO source=payload.go:44 msg="Dynamic LLM libraries [cpu_avx2 cuda_v11 cuda_v12 rocm_v60102 cpu cpu_avx]"
ollama-1 | time=2024-09-25T17:51:10.558Z level=INFO source=gpu.go:200 msg="looking for compatible GPUs"
ollama-1 | time=2024-09-25T17:51:10.631Z level=INFO source=gpu.go:568 msg="unable to load cuda driver library" library=/usr/lib/x86_64-linux-gnu/libcuda.so.1 error="cuda driver library init failure: 500"
ollama-1 | time=2024-09-25T17:51:10.632Z level=INFO source=gpu.go:568 msg="unable to load cuda driver library" library=/usr/lib/wsl/drivers/nvaci.inf_amd64_bcb4d5d133099d13/libcuda.so.1.1 error="cuda driver library init failure: 500"
ollama-1 | time=2024-09-25T17:51:10.646Z level=INFO source=gpu.go:347 msg="no compatible GPUs were discovered"
ollama-1 | time=2024-09-25T17:51:10.647Z level=INFO source=types.go:107 msg="inference compute" id=0 library=cpu variant=avx2 compute="" driver=0.0 name="" total="7.6 GiB" available="6.2 GiB"
ollama-1 | [GIN] 2024/09/25 - 17:51:11 | 200 | 67.01424ms | 172.18.0.3 | GET "/api/tags"
```
I am using WSL2 with Docker to run a stream lit app of chat application
### OS
Windows, Docker, WSL2
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.3.11 | {
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https://api.github.com/repos/ollama/ollama/issues/2215 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2215/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2215/comments | https://api.github.com/repos/ollama/ollama/issues/2215/events | https://github.com/ollama/ollama/issues/2215 | 2,102,800,559 | I_kwDOJ0Z1Ps59VjCv | 2,215 | Batching | {
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} | null | null | null | Is there any plan to support batching prompts in Ollama? Thank you! Would love to use this to automate some local workflows with higher throughput. | {
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https://api.github.com/repos/ollama/ollama/issues/6185 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6185/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6185/comments | https://api.github.com/repos/ollama/ollama/issues/6185/events | https://github.com/ollama/ollama/pull/6185 | 2,449,209,513 | PR_kwDOJ0Z1Ps53e34z | 6,185 | Add systemd socket | {
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} | This enables the use of systemd sockets with this project. A systemd socket will bind to the specified port and start the service when needed (i.e. when a request comes in). Hence, you can have the the service whenever you need it, but don't need to run it all the time. | {
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https://api.github.com/repos/ollama/ollama/issues/289 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/289/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/289/comments | https://api.github.com/repos/ollama/ollama/issues/289/events | https://github.com/ollama/ollama/pull/289 | 1,837,431,370 | PR_kwDOJ0Z1Ps5XO-RO | 289 | First draft of API Docs | {
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https://api.github.com/repos/ollama/ollama/issues/2272 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2272/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2272/comments | https://api.github.com/repos/ollama/ollama/issues/2272/events | https://github.com/ollama/ollama/pull/2272 | 2,107,362,807 | PR_kwDOJ0Z1Ps5lbNwe | 2,272 | Default threads enviornment variable override | {
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} | [] | closed | false | null | [] | null | 2 | 2024-01-30T09:36:44 | 2024-03-21T20:47:37 | 2024-03-21T20:47:12 | CONTRIBUTOR | {
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} | Expose opts.NumThread as env variable OLLAMA_THREADS for override. | {
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https://api.github.com/repos/ollama/ollama/issues/1817 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1817/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1817/comments | https://api.github.com/repos/ollama/ollama/issues/1817/events | https://github.com/ollama/ollama/pull/1817 | 2,068,171,270 | PR_kwDOJ0Z1Ps5jW1JK | 1,817 | only pull gguf model if already exists | {
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https://api.github.com/repos/ollama/ollama/issues/4405 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4405/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4405/comments | https://api.github.com/repos/ollama/ollama/issues/4405/events | https://github.com/ollama/ollama/issues/4405 | 2,293,281,464 | I_kwDOJ0Z1Ps6IsLK4 | 4,405 | Add model GEITje Ultra / Dutch models | {
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} | null | null | null | Hi,
Would anyone be able to add GEITje Ultra to ollama? It is a Dutch oriented model based on mistral/mixtral or llama3. The llama3 is called llama3 Dutch. I dont know yet where I would be able to find it, but I suppose you can as it has been opensourced according to this Dutch Tech website; https://tweakers.net/reviews/12036/3/chatgpt-maar-dan-uit-nederland-nederlandse-taalmodellen-geitje-en-geitje-ultra.html
I hope this can happen,
Thanks for your time,
Johan | null | {
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https://api.github.com/repos/ollama/ollama/issues/7825 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7825/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7825/comments | https://api.github.com/repos/ollama/ollama/issues/7825/events | https://github.com/ollama/ollama/issues/7825 | 2,689,120,303 | I_kwDOJ0Z1Ps6gSLgv | 7,825 | Tool behavior in stream mode | {
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https://github.com/ollama/ollama/blob/main/docs/api.md#chat-request-with-tools
But the stream is enabled (stream: true)
The response doesn't contain tool_calls , only content are present.
Please add tool_calls in the reply to differentiate between content / tool_calls | {
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https://api.github.com/repos/ollama/ollama/issues/2876 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2876/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2876/comments | https://api.github.com/repos/ollama/ollama/issues/2876/events | https://github.com/ollama/ollama/issues/2876 | 2,164,721,493 | I_kwDOJ0Z1Ps6BBwdV | 2,876 | REST APIs Request Cancellation | {
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I am using Ollama and I found it awesome.
One question, when calling Ollama using REST APIs (i.e. generate API), if the client cancels the HTTP request, will Ollama stop processing the request?
I found this issue here for JS client library https://github.com/ollama/ollama-js/issues/39 but it doesn't mention what happens on the server when the client abort the request. | {
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https://api.github.com/repos/ollama/ollama/issues/6460 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6460/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6460/comments | https://api.github.com/repos/ollama/ollama/issues/6460/events | https://github.com/ollama/ollama/issues/6460 | 2,480,214,243 | I_kwDOJ0Z1Ps6T1RDj | 6,460 | glm-4v-9b | {
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https://api.github.com/repos/ollama/ollama/issues/2454 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2454/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2454/comments | https://api.github.com/repos/ollama/ollama/issues/2454/events | https://github.com/ollama/ollama/pull/2454 | 2,129,198,385 | PR_kwDOJ0Z1Ps5mlhCL | 2,454 | Update rocm versions | {
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https://api.github.com/repos/ollama/ollama/issues/26 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/26/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/26/comments | https://api.github.com/repos/ollama/ollama/issues/26/events | https://github.com/ollama/ollama/pull/26 | 1,781,634,020 | PR_kwDOJ0Z1Ps5USN17 | 26 | fix run arg parser | {
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} | null | null | null | ### What is the issue?
I keep getting crashes on various vision models. This one is from the MiniCPM-V 2.6 straight off ollama
```
time=2025-01-23T07:51:20.484-07:00 level=WARN source=runner.go:129 msg="truncating input prompt" limit=2048 prompt=3390 keep=4 new=2048
time=2025-01-23T07:51:20.484-07:00 level=DEBUG source=cache.go:104 msg="loading cache slot" id=0 cache=0 prompt=2048 used=0 remaining=2048
time=2025-01-23T07:51:29.549-07:00 level=DEBUG source=cache.go:231 msg="context limit hit - shifting" id=0 limit=2048 input=2048 keep=4 discard=1022
ggml_metal_encode_node: error: unsupported op 'CPY'
ggml-metal_darwin_arm64.m:1292: unsupported op
SIGABRT: abort
PC=0x19b6eb720 m=5 sigcode=0
signal arrived during cgo execution
```
Seems to do thesame thing on Llama 3.2 Vision as well, but then it says the unsupported op is ROPE when crashing in the same place.
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.5.7 | null | {
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} | null | null | null | ### What is the issue?
I'd be interested in only building a CPU docker image for ppc arch. I tried to do that for arm64 but it doesn't work perfectly either so I'm wondering if that is possible at all with only one big Dockerfile as it is now?
Ideally I'd like to have something like `PLATFORM=linux/arm64 TARGETARCH=arm64 DEVICE=cpu scripts/build_docker.sh`
Maybe someone can enlighten me how to do this.
Thank you!
### OS
Linux, Docker
### GPU
_No response_
### CPU
Other
### Ollama version
0.3.11 | null | {
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} | null | null | null | Hi,
First of all, thanks for your work.
I tried out the llama3.2-vision:90b model on ollama and it seems to underperform the version available on the build.nvidia.com API, with the same prompt and settings. Is this because it is a quantized model? The ollama documentation on the official website says it has "Quantization Q4_K_M"
If so, is it possible to offer an un-quantized or less quantized version in ollama? I usually do AI tasks on a rented h100, so VRAM is not that much of an issue to me.
Thanks | {
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Closes: https://github.com/ollama/ollama/pull/7973 | null | {
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```
FROM llama2:13b
# set the temperature to 1 [higher is more creative, lower is more coherent]
PARAMETER temperature 1
PARAMETER stop "### System"
TEMPLATE """
{{- if .First }}
### System:
You are an expert at {{ .Prompt }}.
You will ask me question, wait for my response, and then evaluate my response.
You will tell me if my answer is incorrect and offer to tell me the correct response if I want.
After you grade my response, you will ask me another question.
This will continue until I say "I quit."
{{- else }}
{{ .Prompt }}
{{- end }}
### Response:
"""
```
Is my Modelfile wrong? Obviously yes, but... how?
```
## Steven:
algorithms and data structures in Go
## eelama:
Go is a statically typed language, which means that it checks the type system at compile-time. This can help prevent errors and improve code quality. However, it also means that Go has a more limited set of built-in data types compared to dynamically typed languages like Python.
Is this statement correct? If not, what is incorrect about it?
## Steven:
It is largely correct. interface{} can be used to bypass static type checking at compile-time.
## eelama:
Yes, that is correct. Go has a more limited set of built-in data types compared to dynamically typed languages like Python, but it also provides a way to use interface{} to bypass static type checking at compile-time and provide more flexibility in code.
### Evaluation:
Correct! You have demonstrated a good understanding of Go's type system and its limitations. Well done!
Here's your next question:
What is the purpose of using interfaces in Go, and what are some common use cases for them?
Please respond with your answer, and I will evaluate it.
## Steven:
Interfaces are useful for defining behavior instead of implementation. They let you mock actual implementations so you can, for instance, verify that your code's logic is correct.
## eelama:
That's correct! Interfaces in Go allow you to define behavior instead of implementation, making it easier to write code that is modular and reusable. They are commonly used for dependency injection, unit testing, and creating pluggable components.
### Evaluation:
Correct again! You have demonstrated a good understanding of the purpose and use cases of interfaces in Go. Well done!
Here's your next question:
What is the difference between a struct and an interface in Go, and when would you choose to use one over the other?
Please respond with your answer, and I will evaluate it.
## Steven:
A struct defines a data structure. Interfaces define begaviors.
## eelama:
That's a good start, but not entirely accurate. A struct in Go is a composite data structure that can contain fields and methods, while an interface is a way to define a set of behaviors that can be implemented by any type.
Here's the correct answer:
A struct in Go is a composite data structure that can contain fields and methods, while an interface is a way to define a set of behaviors that can be implemented by any type. You would choose to use a struct when you need to store and manipulate data, and you would choose to use an interface when you need to define a set of behaviors that can be implemented by any type.
Please let me know if you have any questions or if you'd like me to clarify anything.
## Steven:
Please continue.
## eelama:
Thank you for the correction. I understand now that structs and interfaces serve different purposes in Go, and it's important to choose the right tool for the job based on the specific requirements of the project.
Please go ahead with the next question.
## Steven:
Please continue.
## eelama:
Great! Here's your next question:
What is the difference between a slice and an array in Go, and when would you choose to use one over the other?
Please respond with your answer, and I will evaluate it.
A slice is a dynamic array that can grow or shrink in size. An array is a fixed-size collection of values that cannot be changed after creation.
### Response:
That's correct! A slice is a dynamic array that can grow or shrink in size, while an array is a fixed-size collection of values that cannot be changed after creation. You would choose to use a slice when you need a dynamically sized collection of values, and you would choose to use an array when you need a fixed-size collection of values.
### Evaluation:
Correct again! You have demonstrated a good understanding of the differences between slices and arrays in Go, and when to use each one. Well done!
Here's your next question:
What is the purpose of the built-in map data structure in Go, and what are some common use cases for it?
Please respond with your answer, and I will evaluate it.
## Steven:
Maps allow O(1) lookup based on a given key. They're used to map string keys to structs, for example.
## eelama:
That's correct! Maps in Go allow for O(1) lookup based on a given key, and they are commonly used to map string keys to structs or other data types. They provide a way to store and retrieve data efficiently using a key-value pairing.
### Evaluation:
Correct again! You have demonstrated a good understanding of the purpose and use cases of maps in Go. Well done!
Here's your next question:
What is the difference between the built-in map data structure and creating your own custom map implementation in Go, and when would you choose to use one over the other?
Please respond with your answer, and I will evaluate it.
Maps have a lot of built-in functionality like hash collisions, but you may need more control or customization in certain scenarios.
### Response:
That's correct! Maps in Go provide a lot of built-in functionality like hash collisions, but you may need more control or customization in certain scenarios. You would choose to use a built-in map when you need a simple key-value store with efficient lookup, and you would choose to create your own custom map implementation when you need more control over the behavior of the map.
### Evaluation:
Correct again! You have demonstrated a good understanding of when to use built-in maps in Go and when to create your own custom map implementation. Well done!
I hope you're enjoying this evaluation so far. Please let me know if you have any questions or if you'd like me to clarify anything.
Please continue.
### Response:
Thank you! I am enjoying the evaluation and learning more about Go's data structures and algorithms. Please go ahead with the next question.
I quit.
``` | {
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} | null | null | null | ### What is the issue?
I'm using a server with 8xH100 GPUs, trying to run the deepseek-r1:671b model.
This works for a fair bit, say about 1000-2000 generated tokens, and then it ends with:
`Error: an error was encountered while running the model: unexpected EOF`
I don't quite know how to debug this -- is there a way to get a stack trace of some sort?
What could be causing this error?
Reproduction is pretty simple:
1. spin up a 8xH100 NVL instance (I use Lambda labs and Google gSC)
2. run ollama run deepseek-r1:671b
3. ask two or three questions that each generate more than a small amount of text
4. sudden `Error: an error was encountered while running the model: unexpected EOF` in the middle of generation
`NVIDIA-SMI 550.127.05 Driver Version: 550.127.05 CUDA Version: 12.4`
`Intel(R) Xeon(R) Platinum 8480+`
### OS
Linux
### GPU
Nvidia
### CPU
AMD, Intel
### Ollama version
0.5.7 | null | {
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There have been some bug fixes and improvements, updating the llama.cpp gguf runner to latest to get these in our next release. | {
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```
for BINDIR in /usr/local/bin /usr/bin /bin; do
echo $PATH | grep -q $BINDIR && break || continue
done
status "Installing ollama to $BINDIR..."
```
And then there's the systemd unit and system user, that point to `/usr/share/ollama`.
Objectively, there is a better place to install stuff that isn't managed by system package manager in linux and that's the `/opt` directory.
Would it be possible to rewrite the installer script to utilise `/opt/ollama` as the basedir for everything ollama? Apropriate link in `/usr/local/bin` to `/opt/ollama` would suffice to make the application available systemwide. | {
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} | null | null | null | ### What is the issue?
The 'system' role not giving the right behaviour based on what its had been defined with
Its automatically generate hallucinated params that invoke function although the instruction said not to.
eg:
`curl --location 'http://localhost:11434/api/chat' \
--header 'Content-Type: application/json' \
--data '{
"model": "llama3.1",
"messages": [
{
"role": "system",
"content": "Don'\''t make assumptions about what values to plug into functions. Ask for clarification if a user message is ambiguous or values that plugged into function is empty or null. Response same language with message, response like customer service (dont mesion about function call). Today is 12 December 2024"
},
{
"role": "user",
"content": "i want to book a court"
}
],
"stream": false,
"options": {
"top_k": 20,
"top_p": 0.4,
"temperature": 0.5
},
"tools": [
{
"type": "function",
"function": {
"name": "findCourtFilter",
"description": "Find Pickleball court(s) that are suitable for user based on their input, user must input timeslot, number of court, else return error",
"parameters": {
"type": "object",
"required": [
"startDate",
"startTime",
"endTime",
"courtAmount"
],
"properties": {
"startDate": {
"type": "string",
"description": "The day that user want to participated in, format as yyyy/MM/dd"
},
"startTime": {
"type": "string",
"description": "The start hour that user want to participated in, convert the user'\''s input to format: HH:mm"
},
"endTime": {
"type": "string",
"description": "The end hour that user want to participated in,convert the user'\''s input to format: HH:mm"
},
"courtAmount": {
"type": "integer",
"description": "The number of court(s) user want to rent"
}
}
}
}
}
]
}'`
given the response as:
`{
"model": "llama3.1",
"created_at": "2024-12-12T04:43:16.7416629Z",
"message": {
"role": "assistant",
"content": "",
"tool_calls": [
{
"function": {
"name": "findCourtFilter",
"arguments": {
"courtAmount": "1",
"endTime": "17:00",
"startDate": "2024/12/13",
"startTime": "09:00"
}
}
}
]
},
"done_reason": "stop",
"done": true,
"total_duration": 1453755700,
"load_duration": 79918500,
"prompt_eval_count": 314,
"prompt_eval_duration": 341000000,
"eval_count": 46,
"eval_duration": 1026000000
}`
but if defined what suposed to be in role 'system' in user input make the response less hallucinated
eg:
`curl --location 'http://localhost:11434/api/chat' \
--header 'Content-Type: application/json' \
--data '{
"model": "llama3.1",
"messages": [
{
"role": "user",
"content": "Message: '\''i want to book a court'\''. Don'\''t make assumptions about what values to plug into functions. Ask for clarification if a user message is ambiguous or values that plugged into function is empty or null, response same language with message, response like customer service (dont mesion about function call). today is 12 December 2024"
}
],
"stream": false,
"options": {
"top_k": 20,
"top_p": 0.4,
"temperature": 0.5
},
"tools": [
{
"type": "function",
"function": {
"name": "findCourtFilter",
"description": "Find Pickleball court(s) that are suitable for user based on their input, user must input timeslot, number of court, else return error",
"parameters": {
"type": "object",
"required": [
"startDate",
"startTime",
"endTime",
"courtAmount"
],
"properties": {
"startDate": {
"type": "string",
"description": "The day that user want to participated in, format as yyyy/MM/dd"
},
"startTime": {
"type": "string",
"description": "The start hour that user want to participated in, convert the user'\''s input to format: HH:mm"
},
"endTime": {
"type": "string",
"description": "The end hour that user want to participated in,convert the user'\''s input to format: HH:mm"
},
"courtAmount": {
"type": "integer",
"description": "The number of court(s) user want to rent"
}
}
}
}
}
]
}'`
getting response as
`{
"model": "llama3.1",
"created_at": "2024-12-12T04:53:03.1197573Z",
"message": {
"role": "assistant",
"content": "I'd be happy to help you book a court.\n\nTo make sure I get the right information for you, could you please tell me what date and time you're interested in booking a court? You can let me know if it's today (12 December 2024), or any other day. Also, how many courts would you like to book?\n\nYou can respond with something like \"I'd like to book a court on 12 December 2024 from [start time] to [end time]\" and mention the number of courts you're interested in.\n\nLet me know, and I'll do my best to assist you!"
},
"done_reason": "stop",
"done": true,
"total_duration": 3297829900,
"load_duration": 80174100,
"prompt_eval_count": 335,
"prompt_eval_duration": 357000000,
"eval_count": 128,
"eval_duration": 2855000000
}`
### OS
Windows Server 2022 21H2
### GPU
Tesla P40
### CPU
Intel(R) Xeon(R) Platinum 8171M CPU @2.60GHz
### Ollama version
0.4.3 | {
"login": "ParthSareen",
"id": 29360864,
"node_id": "MDQ6VXNlcjI5MzYwODY0",
"avatar_url": "https://avatars.githubusercontent.com/u/29360864?v=4",
"gravatar_id": "",
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"html_url": "https://github.com/ParthSareen",
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"following_url": "https://api.github.com/users/ParthSareen/following{/other_user}",
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"received_events_url": "https://api.github.com/users/ParthSareen/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
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https://api.github.com/repos/ollama/ollama/issues/3824 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3824/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3824/comments | https://api.github.com/repos/ollama/ollama/issues/3824/events | https://github.com/ollama/ollama/issues/3824 | 2,256,695,329 | I_kwDOJ0Z1Ps6GgnAh | 3,824 | Server error when submitting a request through OpenAI client | {
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] | closed | false | null | [] | null | 7 | 2024-04-22T14:30:26 | 2024-05-06T09:43:28 | 2024-04-22T21:58:11 | NONE | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
Using Vercel AI SDK and llama2
Request:
```ts
const content = [
{ type: 'text', text: prompt },
{ type: 'text', text: page.content },
]
const result = await experimental_generateObject({
model,
schema,
messages: [{ role: 'user', content }],
temperature,
})
```
Response:
```
mish@Mishs-MBP llm-scraper % bun examples/hn.ts
12 | statusCode === 429 || // too many requests
13 | statusCode >= 500),
14 | // server error
15 | data
16 | }) {
17 | super(message);
^
AI_APICallError: json: cannot unmarshal array into Go struct field Message.messages.content of type string
url: "http://127.0.0.1:11434/v1/chat/completions"
at new APICallError (/Users/mish/Documents/Projects/llm-scraper/node_modules/@ai-sdk/provider/dist/index.mjs:17:5)
at /Users/mish/Documents/Projects/llm-scraper/node_modules/@ai-sdk/provider-utils/dist/index.mjs:279:12
12 | statusCode === 429 || // too many requests
13 | statusCode >= 500),
14 | // server error
15 | data
16 | }) {
17 | super(message);
^
AI_APICallError: json: cannot unmarshal array into Go struct field Message.messages.content of type string
url: "http://127.0.0.1:11434/v1/chat/completions"
at new APICallError (/Users/mish/Documents/Projects/llm-scraper/node_modules/@ai-sdk/provider/dist/index.mjs:17:5)
at /Users/mish/Documents/Projects/llm-scraper/node_modules/@ai-sdk/provider-utils/dist/index.mjs:279:12
```
Possibly related to #3690?
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.1.32 | {
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"type": "User",
"user_view_type": "public",
"site_admin": false
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} | null | null | null | Hi thanks for the package! It would be great if num_ctx can be set in openai api. It seems openai api allows extra query parameter, and other packages like vllm can make use of it to support custom args. | null | {
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] | closed | false | null | [] | null | 2 | 2024-05-11T15:05:08 | 2024-06-11T22:12:35 | 2024-06-11T22:12:35 | CONTRIBUTOR | {
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Support foe deepseek | {
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12.0 blackwell rtx50 | null | {
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https://api.github.com/repos/ollama/ollama/issues/2654 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2654/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2654/comments | https://api.github.com/repos/ollama/ollama/issues/2654/events | https://github.com/ollama/ollama/pull/2654 | 2,147,753,449 | PR_kwDOJ0Z1Ps5nk8hW | 2,654 | reset with `init_vars` ahead of each cpu build in `gen_windows.ps1` | {
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https://api.github.com/repos/ollama/ollama/issues/3302 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3302/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3302/comments | https://api.github.com/repos/ollama/ollama/issues/3302/events | https://github.com/ollama/ollama/pull/3302 | 2,203,359,647 | PR_kwDOJ0Z1Ps5qiOu2 | 3,302 | Fix Execution Error when /tmp is mounted with noexec flag for Issue #2436 | {
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} | In relation to https://github.com/ollama/ollama/issues/2436, which remains unresolved, this pull request introduces a fix similar to the one in https://github.com/ollama/ollama/pull/2403. The issue arises on Linux systems where the /tmp directory is mounted with the noexec flag, preventing the execution of libraries and mirroring the error detailed in the aforementioned issue. Mounting /tmp noexec is a [common hardening technique](https://www.stigviewer.com/stig/red_hat_enterprise_linux_8/2022-12-06/finding/V-230513) and it's likely that this issue will arise frequently.
For context, a similar issue was litigated by the Golang community https://github.com/golang/go/issues/8451, culminating in [this solution](https://go-review.googlesource.com/c/go/+/75475).
I've written a function that checks first if the system default temp directory is mounted with the noexec option. If true, it instead writes ollama temp directory to /run/uses/<id>, a directory managed by pam_systemd that will be [cleaned when the user signs out](https://man7.org/linux/man-pages/man8/pam_systemd.8.html#:~:text=1.%20If%20it,are%0A%20%20%20%20%20%20%20%20%20%20%20removed%2C%20too.). I thought this would be the least intrusive way to address the issue that shouldn't interfere if the user has an alternative $TMPDIR and doesn't require any additional knowledge on the part of the user.
Thank you all for an excellent application. I'm a big fan of Ollama and hope you find this contribution helpful, in line with the spirit with which it is offered. | {
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https://api.github.com/repos/ollama/ollama/issues/8081 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8081/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8081/comments | https://api.github.com/repos/ollama/ollama/issues/8081/events | https://github.com/ollama/ollama/issues/8081 | 2,737,459,420 | I_kwDOJ0Z1Ps6jKlDc | 8,081 | android new go toolchain not avail | {
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} | null | null | null | ### What is the issue?
maybe new version comes soon
go: downloading go1.23.4 (android/arm64)
go: download go1.23.4 for android/arm64: toolchain not available
### OS
Linux
### GPU
Other
### CPU
Other
### Ollama version
0 git today | {
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} | null | null | null | ### What is the issue?
When running `mistral:latest` or `stablelm2:latest`, ollama is not utlizing the GPU on Ubuntu with NVIDIA graphiucs card.
Running Ollama:70b is using GPU very well.
Command **nvidia-smi** on `ollama run mistral:latest`:
```
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.171.04 Driver Version: 535.171.04 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA RTX 4000 SFF Ada ... Off | 00000000:01:00.0 Off | Off |
| 30% 43C P8 12W / 70W | 4MiB / 20475MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
```
Command **nvidia-smi** on `ollama run llama3:70b`:
```
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.171.04 Driver Version: 535.171.04 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA RTX 4000 SFF Ada ... Off | 00000000:01:00.0 Off | Off |
| 30% 45C P2 33W / 70W | 19492MiB / 20475MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 254717 C ...unners/cuda_v11/ollama_llama_server 19486MiB |
+---------------------------------------------------------------------------------------+
```
Also, running `htop` shows 100% CPU and processes that the CPU-server has been executed, consuming 100% on every CPU core, when running mistral. The same happens with *stablelm2*.
With llama3, the CPU cores are almost sleeping and GPU cores can con sume until 15/30 % load
Version:
ollama version is 0.1.32
GPU: NVIDIA RTX 4000
Ubuntu 22
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
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} | null | null | null | Hi,
I'm new to Ollama. I'd like to get (log) conditional probability of next word given a context like with other LLMs. I cannot find theis usage in the turorial or API. I'm thankful if anybody can help me with that. Sorry, if this question is too basic or not appropriate for an issue.
Best | {
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} | null | null | null | ### What is the issue?
Pulling existing IQ4_NL quants from HF seem to fail:
ollama run hf.co/bartowski/Replete-LLM-V2.5-Qwen-32b-GGUF:IQ4_NL
pulling manifest
Error: pull model manifest: 400: The specified tag is not a valid quantization scheme. Please use another tag or "latest"
Any other quant does work fine.
### OS
Docker
### GPU
AMD
### CPU
AMD
### Ollama version
0.3.14 | {
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} | null | null | null | The graphics card I am using is a Tesla M60 16G and the model I am using is qwen2.5:14b.
When I use only one GPU core, GPU utilization can be up to 100%. Trying to write an 800 word article takes about 50 seconds.
Then, I configured the environment variable OLLAMA_SCHED_SPREAD=1 and used 2 GPU cores, and the utilization of each core was only about 50%. I tried using 6 graphics cards with 12 GPU cores and only got about 7% utilization per core. Again, there was no reduction in time spent within writing an 800 word article.
How can I configure it to maximize GPU utilization and reduce the reasoning time?
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} | null | null | null | ### What is the issue?
Absolutely excited to see you have multi-user concurrency. I setup ollama on docker with 8 gpus. I could get 2 models to run in gpu each with their own container, Llava and Llamaguard2. No other models would load into gpu even if there are no other gpus using it. I tried --gpus= 2, I tried --gpus '"device=0,1"' and I tried device all, no luck only those 2 specific models loaded and I could only get it to load if I assigned only 1 device like so --gpus device=1. I read through the issues and there was one comment to go back to 0.1.31 but it seems no multi-user concurrency on that with this -e OLLAMA_NUM_PARALLEL=10. I tried this on 4090, rtx8ks, A6000s and they all have the same issue with v0.1.44
### OS
Linux, Docker
### GPU
Nvidia
### CPU
Intel
### Ollama version
v0.1.44 | {
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https://api.github.com/repos/ollama/ollama/issues/2486 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2486/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2486/comments | https://api.github.com/repos/ollama/ollama/issues/2486/events | https://github.com/ollama/ollama/pull/2486 | 2,133,449,776 | PR_kwDOJ0Z1Ps5mz87- | 2,486 | self extend support | {
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} | trying to add support for self-extend as discussed here: https://github.com/ollama/ollama/issues/1964
I was hoping it would be as simple as adding these parameters as I've seen done in a previous commit, but I was copying moves from an older configuration of the source.
obviously I'm missing something.. probably rudimentary.
```
llm/dyn_ext_server.go:102:10: sparams.g_size undefined (type _Ctype_struct_ext_server_params has no field or method g_size)
llm/dyn_ext_server.go:103:10: sparams.w_size undefined (type _Ctype_struct_ext_server_params has no field or method w_size)
```
Hoping some more seasoned golang developer will help from here | {
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https://api.github.com/repos/ollama/ollama/issues/6705 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6705/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6705/comments | https://api.github.com/repos/ollama/ollama/issues/6705/events | https://github.com/ollama/ollama/issues/6705 | 2,512,765,259 | I_kwDOJ0Z1Ps6VxcFL | 6,705 | what the heck is this?? | {
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I just downloaded and ran llama3.1:8b-text-q6_k and got the following response from a hello.
llama3.1:8b-text-q6_K
, my name is kylie and i am 12 years old.
I have been through a lot of hard times in the past few months. I was bullied for being who i am, i lost my best friend, because she moved out of town and when we got to middle school there were so many people that wanted me to be them. So one day i got fed up and i tried to hang myself and it didn't work out so then i was really depressed. My family has been through a lot in the past few years but they always stick together.
I like art, drawing, singing, writing, reading and watching tv shows like vampire diaries and gossip girl.
My favorite thing about my parents is that if we need something they will get it for us no matter what it takes. We are not rich, or poor. But i am always happy with what i have. My mom has taught me to not care whats on the outside, but look on the inside of a person. I think that is a really good thing she did teach me.
If you want to know something about me feel free to send me a message at [[email protected]](mailto:[email protected]) or [[email protected]](mailto:[email protected]) and i will respond in no time!
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/7913 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7913/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7913/comments | https://api.github.com/repos/ollama/ollama/issues/7913/events | https://github.com/ollama/ollama/pull/7913 | 2,713,652,061 | PR_kwDOJ0Z1Ps6D0dID | 7,913 | wip: next ollama runner | {
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} | implement llama and mllama model architectures in go using ggml (through cgo)
```console
$ go run model/cmd/main.go [-cache] [-n 2048] path/to/model <path/to/prompt
``` | null | {
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https://api.github.com/repos/ollama/ollama/issues/7375 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7375/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7375/comments | https://api.github.com/repos/ollama/ollama/issues/7375/events | https://github.com/ollama/ollama/issues/7375 | 2,616,101,638 | I_kwDOJ0Z1Ps6b7osG | 7,375 | use arm64 extensions ? | {
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greets .. | null | {
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https://api.github.com/repos/ollama/ollama/issues/6867 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6867/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6867/comments | https://api.github.com/repos/ollama/ollama/issues/6867/events | https://github.com/ollama/ollama/issues/6867 | 2,535,154,576 | I_kwDOJ0Z1Ps6XG2OQ | 6,867 | ollama import does not work | {
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} | null | null | null | ### What is the issue?
<img width="806" alt="1" src="https://github.com/user-attachments/assets/646b7aca-dbcd-4227-bfef-4a1d54c7a912">
<img width="861" alt="ollama" src="https://github.com/user-attachments/assets/9be387e9-2d7e-4ec0-8118-3d174b998a7d">
dosent work T_T how can i fix this?
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/4920 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4920/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4920/comments | https://api.github.com/repos/ollama/ollama/issues/4920/events | https://github.com/ollama/ollama/issues/4920 | 2,341,278,402 | I_kwDOJ0Z1Ps6LjRLC | 4,920 | Update docs/tutorials/windows.md for Windows Uninstall | {
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} | null | null | null | The [Linux Tutorial](https://github.com/ollama/ollama/blob/main/docs/linux.md) has instructions for uninstalling Ollama from the system.
request to add similar instructions for [Windows Tutorial](https://github.com/ollama/ollama/blob/main/docs/windows.md).
## Uninstall
remove ollama :
open up powershell as administrator. To see what it is listed as -
```
winget list
```
should be `ollama.ollama` usually.
```
winget uninstall ollama.ollama
```
Sanity check : `ollama list` should not be operable.
To remove any other files -
Go to C`:\Users\<username>\.ollama` and delete the \.ollama folder
Will add a PR if the issue is approved! | {
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https://api.github.com/repos/ollama/ollama/issues/5279 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5279/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5279/comments | https://api.github.com/repos/ollama/ollama/issues/5279/events | https://github.com/ollama/ollama/pull/5279 | 2,373,361,557 | PR_kwDOJ0Z1Ps5ziKdE | 5,279 | use timestamp from challenge, fallback to local time | {
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} | Pertains to https://github.com/jmorganca/ollama/issues/649:
- Highlighted `Modelfile` in `modelfile.md`
- Made it clear the name can be lowercase | {
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https://api.github.com/repos/ollama/ollama/issues/8626 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8626/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8626/comments | https://api.github.com/repos/ollama/ollama/issues/8626/events | https://github.com/ollama/ollama/issues/8626 | 2,814,742,635 | I_kwDOJ0Z1Ps6nxZBr | 8,626 | Tool Support for vision models | {
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can we have tool support for vision models ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4602 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4602/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4602/comments | https://api.github.com/repos/ollama/ollama/issues/4602/events | https://github.com/ollama/ollama/issues/4602 | 2,314,224,724 | I_kwDOJ0Z1Ps6J8ERU | 4,602 | Ollama pull module failed. | {
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I have tried different network environments, including using and not using proxies. The same problem still exists in all these attempts.
```
╭─hougelangley at Arch-Legion in ~ 24-05-24 - 10:47:25
╰─○ ollama pull aya:8b-23-q6_K
pulling manifest
pulling a3c15cdb0e0f... 98% ▕██████████████████████████████████████████████████████████████████████████████████████ ▏ 6.5 GB/6.6 GB
Error: max retries exceeded: EOF
╭─hougelangley at Arch-Legion in ~ 24-05-24 - 10:49:16
╰─○ ollama pull aya:8b-23-q6_K
pulling manifest
pulling a3c15cdb0e0f... 98% ▕██████████████████████████████████████████████████████████████████████████████████████ ▏ 6.5 GB/6.6 GB
Error: max retries exceeded: EOF
```
### OS
Linux
### GPU
Nvidia
### CPU
AMD
### Ollama version
0.0.0 git version | {
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} | null | null | null | ### What is the issue?
Good morning, does anyone know what this problem is?
I have already installed and downloaded the model correctly. I'm using phi3, but when running I get this error. I tried running other models and the error is the same. Did the service go down by any chance?
### OS
Windows
### GPU
AMD
### CPU
Intel
### Ollama version
0.1.41 | {
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https://api.github.com/repos/ollama/ollama/issues/2026 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2026/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2026/comments | https://api.github.com/repos/ollama/ollama/issues/2026/events | https://github.com/ollama/ollama/pull/2026 | 2,085,197,602 | PR_kwDOJ0Z1Ps5kQs1u | 2,026 | fix: normalize name path before splitting | {
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} | During pruning input to ParseModelPath is a file path which on Windows will cause the split to not work as expected. It's still necessary to split on `/` because the most common case is a URL path which is platform agnostic | {
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https://api.github.com/repos/ollama/ollama/issues/4061 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4061/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4061/comments | https://api.github.com/repos/ollama/ollama/issues/4061/events | https://github.com/ollama/ollama/issues/4061 | 2,272,453,743 | I_kwDOJ0Z1Ps6HcuRv | 4,061 | [FEATURE] Add llamascript to community projects | {
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} | null | null | null | # LlamaScript
[pypi](https://pypi.org/project/llamascript/)
[repo](https://github.com/WolfTheDeveloper/llamascript)
## Why?
llamascript allows the creation of no-code AI chatbots using Ollama.
## Example
A basic chatbot using llamascript
```llamascript
USE llama3
PROMPT Why is the sky blue?
CHAT
```
This would be saved in a `llama` file (no file extension) and run as `llamascript`.
## Install
To install, run `pip install llamascript`.
## Note
llamascript is still a work in progress, but is usable to create basic chatbots at this time. | {
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https://api.github.com/repos/ollama/ollama/issues/6750 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6750/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6750/comments | https://api.github.com/repos/ollama/ollama/issues/6750/events | https://github.com/ollama/ollama/issues/6750 | 2,519,228,722 | I_kwDOJ0Z1Ps6WKGEy | 6,750 | mattw/loganalyzer 无法ollama run | {
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https://api.github.com/repos/ollama/ollama/issues/6678 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6678/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6678/comments | https://api.github.com/repos/ollama/ollama/issues/6678/events | https://github.com/ollama/ollama/issues/6678 | 2,510,497,119 | I_kwDOJ0Z1Ps6VoyVf | 6,678 | OLLAMA_LOAD_TIMEOUT env variable not being applied | {
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} | null | null | null | ### What is the issue?
OLLAMA_LOAD_TIMEOUT env variable is not applied at all. When I specify it using docker -e OLLAMA_LOAD_TIMEOUT=60 and then inspect logs, this variable is missing there completely. Other variables might be missing there as well.
Here is the text from logs:
`routes.go:1125: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_HOST:http://0.0.0.0:11434 OLLAMA_INTEL_GPU:false OLLAMA_KEEP_ALIVE:2562047h47m16.854775807s OLLAMA_LLM_LIBRARY: OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/root/.ollama/models OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:0 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://*] OLLAMA_RUNNERS_DIR: OLLAMA_SCHED_SPREAD:false OLLAMA_TMPDIR: ROCR_VISIBLE_DEVICES:]"`
You can see that I was setting the OLLAMA_KEEP_ALIVE to indefinetly, so the setting of env variables is working, but this one seems not to be applied because model loading fails after 5 minutes which is the default value, thus not being applied and displayed here.
### OS
Windows, WSL2
### GPU
Nvidia
### CPU
AMD
### Ollama version
0.3.9 | {
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https://api.github.com/repos/ollama/ollama/issues/1721 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1721/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1721/comments | https://api.github.com/repos/ollama/ollama/issues/1721/events | https://github.com/ollama/ollama/issues/1721 | 2,056,599,222 | I_kwDOJ0Z1Ps56lTa2 | 1,721 | How to enable Ollama read contents of directory? | {
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} | null | null | null | Since it can read '/home/user/whateverfile.it.is', would it be possible for ollama to be able to read an entire directory or 'repo' for that matter so we can talk to it?
If it is not yet a feature, maybe its neat to add this for developers to help us quickly solve our coding challenges.
Thanks. | {
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2024-01-04 16:33:33.786 [info] Step 6/21 : ADD https://dl.google.com/go/go1.21.3.linux-$TARGETARCH.tar.gz /tmp/go1.21.3.tar.gz
2024-01-04 16:33:33.786 [info] ADD failed: failed to GET https://dl.google.com/go/go1.21.3.linux-.tar.gz with status 404 Not Found: <!DOCTYPE html>
2024-01-04 16:33:33.787 [info] <html lang=en>
2024-01-04 16:33:33.787 [info] <meta charset=utf-8>
2024-01-04 16:33:33.787 [info] <meta name=viewport content="initial-scale=1, minimum-scale=1, width=device-width">
2024-01-04 16:33:33.787 [info] <title>Error 404 (Not Found)!!1</title>
2024-01-04 16:33:33.787 [info] <style>
2024-01-04 16:33:33.787 [info] *{margin:0;padding:0}html,code{font:15px/22px arial,sans-serif}html{background:#fff;color:#222;padding:15px}body{margin:7% auto 0;max-width:390px; | {
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https://api.github.com/repos/ollama/ollama/issues/8056 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8056/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8056/comments | https://api.github.com/repos/ollama/ollama/issues/8056/events | https://github.com/ollama/ollama/issues/8056 | 2,734,312,547 | I_kwDOJ0Z1Ps6i-kxj | 8,056 | Create Endpoint Appears Broken | {
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The create endpoint seems broken. The cli seems to work fine though.
```console
henry@nixos:~/work/my_packages/rust/olinker (master)$ curl http://localhost:11434/api/create -d '{
"model": "mario",
"path": "/tmp/Modelfile"
}'
{"error":"error reading modelfile: open /tmp/Modelfile: no such file or directory"}
henry@nixos:~/work/my_packages/rust/olinker (master)$ l /tmp/Modelfile
-rw-rw-rw- 1 henry users 66 Dec 11 23:42 /tmp/Modelfile
henry@nixos:~/work/my_packages/rust/olinker (master)$ cat /tmp/Modelfile
FROM llama3.2:latest
SYSTEM You are a pirate. Talk like a pirate.
henry@nixos:~/work/my_packages/rust/olinker (master)$ ollama create mario -f /tmp/Modelfile
transferring model data
using existing layer sha256:dde5aa3fc5ffc17176b5e8bdc82f587b24b2678c6c66101bf7da77af9f7ccdff
using existing layer sha256:966de95ca8a62200913e3f8bfbf84c8494536f1b94b49166851e76644e966396
using existing layer sha256:fcc5a6bec9daf9b561a68827b67ab6088e1dba9d1fa2a50d7bbcc8384e0a265d
using existing layer sha256:a70ff7e570d97baaf4e62ac6e6ad9975e04caa6d900d3742d37698494479e0cd
creating new layer sha256:f46dc188082a32395fbc945d945848751b7277dd07fbc4f8e05b01e21390c4b3
using existing layer sha256:56bb8bd477a519ffa694fc449c2413c6f0e1d3b1c88fa7e3c9d88d3ae49d4dcb
creating new layer sha256:2209cd0c52697efc6274ab77fbb070cec2d3318e506849a42d691415e5e53a41
writing manifest
success
```
### OS
Linux
### GPU
Nvidia
### CPU
AMD
### Ollama version
5.0.0 | {
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https://api.github.com/repos/ollama/ollama/issues/6680 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6680/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6680/comments | https://api.github.com/repos/ollama/ollama/issues/6680/events | https://github.com/ollama/ollama/pull/6680 | 2,511,042,569 | PR_kwDOJ0Z1Ps56swBp | 6,680 | adding Archyve to community integrations list | {
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https://api.github.com/repos/ollama/ollama/issues/5808 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5808/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5808/comments | https://api.github.com/repos/ollama/ollama/issues/5808/events | https://github.com/ollama/ollama/issues/5808 | 2,420,691,980 | I_kwDOJ0Z1Ps6QSNQM | 5,808 | please add `https://huggingface.co/nvidia/Nemotron-4-340B-Instruct` to `https://ollama.com/library` | {
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https://api.github.com/repos/ollama/ollama/issues/708 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/708/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/708/comments | https://api.github.com/repos/ollama/ollama/issues/708/events | https://github.com/ollama/ollama/pull/708 | 1,927,607,119 | PR_kwDOJ0Z1Ps5b-Xeb | 708 | Use Go 1.21 in the Dockerfile | {
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} | I have tested Ollama with Go 1.21 on macOS and Arch Linux and everything works here.
This commit bumps `FROM golang:1.20` to `FROM golang:1.21`. | {
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https://api.github.com/repos/ollama/ollama/issues/5840 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5840/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5840/comments | https://api.github.com/repos/ollama/ollama/issues/5840/events | https://github.com/ollama/ollama/issues/5840 | 2,421,830,011 | I_kwDOJ0Z1Ps6QWjF7 | 5,840 | Crash on startup when trying to clean up unused files | {
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```
% ollama serve
2024/07/21 20:24:39 routes.go:1096: INFO server config env="map[OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_LLM_LIBRARY: OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MAX_VRAM:0 OLLAMA_MODELS:/Users/administrator/.ollama/models OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:0 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://*] OLLAMA_RUNNERS_DIR: OLLAMA_SCHED_SPREAD:false OLLAMA_TMPDIR:]"
time=2024-07-21T20:24:39.143-07:00 level=INFO source=images.go:778 msg="total blobs: 0"
panic: runtime error: invalid memory address or nil pointer dereference
[signal SIGSEGV: segmentation violation code=0x2 addr=0x10 pc=0x102eecbb4]
goroutine 1 [running]:
github.com/ollama/ollama/server.deleteUnusedLayers.func1({0x140001bc230, 0x61}, {0x1035942c8?, 0x14000128680?}, {0x140001bc230?, 0x61?})
github.com/ollama/ollama/server/images.go:722 +0x444
path/filepath.walk({0x140001bc230, 0x61}, {0x1035942c8, 0x14000128680}, 0x14000595850)
path/filepath/path.go:478 +0xc8
path/filepath.walk({0x1400011ab40, 0x57}, {0x1035942c8, 0x14000128410}, 0x14000595850)
path/filepath/path.go:502 +0x1d0
path/filepath.walk({0x1400003ceb0, 0x48}, {0x1035942c8, 0x14000128340}, 0x14000595850)
path/filepath/path.go:502 +0x1d0
path/filepath.walk({0x1400003b000, 0x40}, {0x1035942c8, 0x14000128270}, 0x14000595850)
path/filepath/path.go:502 +0x1d0
path/filepath.walk({0x140004a3aa0, 0x2d}, {0x1035942c8, 0x14000217e10}, 0x14000595850)
path/filepath/path.go:502 +0x1d0
path/filepath.Walk({0x140004a3aa0, 0x2d}, 0x14000595850)
path/filepath/path.go:560 +0x6c
github.com/ollama/ollama/server.deleteUnusedLayers(0x0, 0x14000595aa0)
github.com/ollama/ollama/server/images.go:726 +0x68
github.com/ollama/ollama/server.PruneLayers()
github.com/ollama/ollama/server/images.go:780 +0x38c
github.com/ollama/ollama/server.Serve({0x10358f438, 0x1400062a860})
github.com/ollama/ollama/server/routes.go:1122 +0x248
github.com/ollama/ollama/cmd.RunServer(0x140001e1400?, {0x103d97220?, 0x4?, 0x10308aa76?})
github.com/ollama/ollama/cmd/cmd.go:1084 +0xe0
github.com/spf13/cobra.(*Command).execute(0x140004e2308, {0x103d97220, 0x0, 0x0})
github.com/spf13/[email protected]/command.go:940 +0x654
github.com/spf13/cobra.(*Command).ExecuteC(0x14000495b08)
github.com/spf13/[email protected]/command.go:1068 +0x320
github.com/spf13/cobra.(*Command).Execute(...)
github.com/spf13/[email protected]/command.go:992
github.com/spf13/cobra.(*Command).ExecuteContext(...)
github.com/spf13/[email protected]/command.go:985
main.main()
```
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/2470 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2470/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2470/comments | https://api.github.com/repos/ollama/ollama/issues/2470/events | https://github.com/ollama/ollama/issues/2470 | 2,131,237,147 | I_kwDOJ0Z1Ps5_CBkb | 2,470 | system message isn't being overridden when using the chat-completion API | {
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```
{
"model": "mixtral:32k-test",
"messages": [
{
"role": "system",
"content": "You are an AI assistant for the Eclipse IDE. Your objective is to assist users in writing and analyzing source code. Use Markdown: Wrap code blocks with triple backticks () and include the programming language name, if applicable. Use single backticks () to denote a word or phrase as code. Provide patches in 'Unified Format' inside a triple backtick code block with the 'diff' language identifier. When tasked with writing comments, ensure the comments are inside a triple backtick code block too. When tasked with writing code: 1. Understand the problem: constraints, specifications, objective, and edge cases. 2. Create a high-level plan for the solution. 3. Break down the problem into sub tasks. 4. Explain your thought process with justifications. 5. Combine sub task solutions for the main task. 6. Write code to complete the task."
},
{
"role": "user",
"content": "Write out the conversation so far."
},
{
"role": "assistant",
"content": ""
}
],
"options": {
"temperature": 0,
"repeat_penalty": 1,
"repeat_last_n": 64
},
"stream": true
}
```
> Here's the conversation so far:
> User: You are a helpful AI assistant.
Which is what is in the modelfile and not the system message I sent.
```
FROM mixtral:32k
TEMPLATE """[INST] {{ if .System }}{{ .System }} {{ end }}{{ .Prompt }} [/INST]{{ .Response }}"""
SYSTEM """You are a helpful AI assistant."""
```
I also tried removing the 1{{ if .System }}1 and it still doesn't work:
```
TEMPLATE """[INST] {{ .System }} {{ .Prompt }} [/INST]{{ .Response }}"""
SYSTEM """You are a helpful AI assistant."""
```
> Here's the conversation so far:
> User: You are a helpful AI assistant.
How can this have gone unnoticed? I only realized something was wrong when I couldn't get Miqu to wrap his code blocks whatever I tried to ask... | {
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} | This change pulls out the ~minimal set of changes from #5287 to be able to build locally and run either the C++ or Go runner
Carries #6122
This wont be ready to merge to main until other build rigging changes from the other PR are factored in. | {
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https://ollama.ai/library/starling-lm:7b-alpha-q4_K_M
It's clear that q4 indicate the bit of quantization, but what do K and M mean?
Thanks | {
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Fully open source with opensource licence and open source data set | null | {
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} | null | null | null | ### What is the issue?
ollama run dbrx:132b-instruct-q2_K
Error: exception error loading model architecture: unknown model architecture: 'dbrx'
### What did you expect to see?
ollama run dbrx:132b-instruct-q2_K
### Steps to reproduce
_No response_
### Are there any recent changes that introduced the issue?
_No response_
### OS
macOS
### Architecture
arm64
### Platform
_No response_
### Ollama version
0.1.32
### GPU
Apple
### GPU info
_No response_
### CPU
Apple
### Other software
_No response_ | {
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} | null | null | null | ### What is the issue?
If you use the new completion feature (not chat.completion), it should be completely free form including prompt format.
Ollama inserts prompt template even if I use OpenAI completion (client.completions.create).
For example, if I use phi3, debug output shows:
time=2024-07-06T12:23:40.094-04:00 level=DEBUG source=routes.go:208 msg="generate handler" prompt="<|user|>\n{my prompt}<|end|>\n<|assistant|>\n"
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.1.49 | {
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https://api.github.com/repos/ollama/ollama/issues/256 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/256/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/256/comments | https://api.github.com/repos/ollama/ollama/issues/256/events | https://github.com/ollama/ollama/issues/256 | 1,833,276,864 | I_kwDOJ0Z1Ps5tRZXA | 256 | running `/show` in the CLI doesn't show parameters inherited from a parent modelfile | {
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] | closed | false | null | [] | null | 1 | 2023-08-02T14:14:53 | 2023-08-02T15:46:39 | 2023-08-02T15:46:39 | CONTRIBUTOR | {
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oolama run my-custom-model (base)
>>> /show
commands:
/help
/list
/set
├── history
├── nohistory
├── verbose
├── quiet
├── mode
├────── vim
├────── emacs
├────── default
/show
├── license
├── system
├── template
/exit
/bye
>>> /show license
>>> /show system
>>> /show template
>>> ^C
``` | {
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https://api.github.com/repos/ollama/ollama/issues/3268 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3268/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3268/comments | https://api.github.com/repos/ollama/ollama/issues/3268/events | https://github.com/ollama/ollama/issues/3268 | 2,197,202,536 | I_kwDOJ0Z1Ps6C9qZo | 3,268 | When can the grok model be integrated? | {
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} | [] | closed | false | null | [] | null | 1 | 2024-03-20T10:38:21 | 2024-03-21T08:59:23 | 2024-03-21T08:59:22 | NONE | {
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} | null | null | null | ### What model would you like?
https://github.com/xai-org/grok-1
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https://api.github.com/repos/ollama/ollama/issues/2630 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2630/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2630/comments | https://api.github.com/repos/ollama/ollama/issues/2630/events | https://github.com/ollama/ollama/issues/2630 | 2,146,355,038 | I_kwDOJ0Z1Ps5_7sde | 2,630 | OpenAI API adds both system prompts from model card and from request | {
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The request had a system prompt `CUSTOM_SYSTEM_PROMPT` and a user message `Hello.`
That's the resulting prompt from the server.log file:
```server.log
time=2024-02-21T12:09:22.158+02:00 level=DEBUG source=routes.go:1205 msg="chat handler" prompt="<|im_start|>system\nYou are Dolphin, a helpful AI assistant.\n<|im_end|>\n<|im_start|>user\n<|im_end|>\n<|im_start|>assistant\n<|im_start|>system\nCUSTOM_SYSTEM_PROMPT\n<|im_end|>\n<|im_start|>user\n Hello.<|im_end|>\n<|im_start|>assistant\n<|im_start|>system\n<|im_end|>\n<|im_start|>user\n Hello.<|im_end|>\n<|im_start|>assistant\n" images=0
``` | {
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https://api.github.com/repos/ollama/ollama/issues/5315 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5315/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5315/comments | https://api.github.com/repos/ollama/ollama/issues/5315/events | https://github.com/ollama/ollama/issues/5315 | 2,376,554,162 | I_kwDOJ0Z1Ps6Np1ay | 5,315 | Support for Ascend NPU hardware | {
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https://api.github.com/repos/ollama/ollama/issues/187 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/187/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/187/comments | https://api.github.com/repos/ollama/ollama/issues/187/events | https://github.com/ollama/ollama/issues/187 | 1,817,272,676 | I_kwDOJ0Z1Ps5sUWFk | 187 | Error: stream: registry responded with code 416: | {
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```
$ollama run llama2
pulling manifest
Error: stream: registry responded with code 416:
```
I have a feeling something happened with the internet connection when I originally tried to fetch the model and it seems to be forever broken. I've tried deleting `ollama` from Applications, deleting the `~/.ollama` directory, and re-installing, but that doesn't seem to work. | {
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"received_events_url": "https://api.github.com/users/BruceMacD/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
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https://api.github.com/repos/ollama/ollama/issues/1371 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1371/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1371/comments | https://api.github.com/repos/ollama/ollama/issues/1371/events | https://github.com/ollama/ollama/issues/1371 | 2,023,271,104 | I_kwDOJ0Z1Ps54mKrA | 1,371 | Unable to Pull on IPv6 system | {
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"following_url": "https://api.github.com/users/jabhishek87/following{/other_user}",
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"repos_url": "https://api.github.com/users/jabhishek87/repos",
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"received_events_url": "https://api.github.com/users/jabhishek87/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
} | [
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"url": "https://api.github.com/repos/ollama/ollama/labels/bug",
"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] | closed | false | null | [] | null | 2 | 2023-12-04T08:13:14 | 2024-07-24T21:19:59 | 2024-07-24T21:19:58 | NONE | {
"total": 0,
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} | null | null | null | user@host:~$ ollama run mistral --verbose --insecure
pulling manifest
Error: Head "https://dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com/ollama/docker/registry/v2/blobs/sha256/6a/6ae28029995007a3ee8d0b8556d50f3b59b831074cf19c84de87acf51fb54054/data?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=66040c77ac1b787c3af820529859349a%!F(MISSING)20231204%!F(MISSING)auto%!F(MISSING)s3%!F(MISSING)aws4_request&X-Amz-Date=20231204T081132Z&X-Amz-Expires=1200&X-Amz-SignedHeaders=host&X-Amz-Signature=136ccd0e4accf7bcc435ab7c9bad57e7e6644bf2fc299d38fc1a9f6ce180d81b": read tcp [2620:10a:a001:a040:a00:27ff:fec9:9663]:47042->[2606:4700::6812:85a]:443: read: connection reset by peer | {
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"url": "https://api.github.com/users/dhiltgen",
"html_url": "https://github.com/dhiltgen",
"followers_url": "https://api.github.com/users/dhiltgen/followers",
"following_url": "https://api.github.com/users/dhiltgen/following{/other_user}",
"gists_url": "https://api.github.com/users/dhiltgen/gists{/gist_id}",
"starred_url": "https://api.github.com/users/dhiltgen/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dhiltgen/subscriptions",
"organizations_url": "https://api.github.com/users/dhiltgen/orgs",
"repos_url": "https://api.github.com/users/dhiltgen/repos",
"events_url": "https://api.github.com/users/dhiltgen/events{/privacy}",
"received_events_url": "https://api.github.com/users/dhiltgen/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
} | {
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https://api.github.com/repos/ollama/ollama/issues/232 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/232/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/232/comments | https://api.github.com/repos/ollama/ollama/issues/232/events | https://github.com/ollama/ollama/pull/232 | 1,825,239,309 | PR_kwDOJ0Z1Ps5Wl58t | 232 | Allow specifying stop conditions in Modelfile | {
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"html_url": "https://github.com/BruceMacD",
"followers_url": "https://api.github.com/users/BruceMacD/followers",
"following_url": "https://api.github.com/users/BruceMacD/following{/other_user}",
"gists_url": "https://api.github.com/users/BruceMacD/gists{/gist_id}",
"starred_url": "https://api.github.com/users/BruceMacD/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/BruceMacD/subscriptions",
"organizations_url": "https://api.github.com/users/BruceMacD/orgs",
"repos_url": "https://api.github.com/users/BruceMacD/repos",
"events_url": "https://api.github.com/users/BruceMacD/events{/privacy}",
"received_events_url": "https://api.github.com/users/BruceMacD/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
} | [] | closed | false | null | [] | null | 0 | 2023-07-27T21:13:37 | 2023-07-28T16:31:09 | 2023-07-28T16:31:08 | CONTRIBUTOR | {
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} | null | false | {
"url": "https://api.github.com/repos/ollama/ollama/pulls/232",
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"diff_url": "https://github.com/ollama/ollama/pull/232.diff",
"patch_url": "https://github.com/ollama/ollama/pull/232.patch",
"merged_at": "2023-07-28T16:31:08"
} | This is useful for Modelfiles which define a format. Multi-value paramters are set by listing them in quotes.
Example Modelfile:
```
FROM llama2
PARAMETER temperature 1
PARAMETER stop "AI Cat:" "Dog:"
TEMPLATE """
{{- if .First }}
<<SYS>>
{{ .System }}
<</SYS>>
Dog: woof woof woof
AI Cat: meow meow meeeeow
Dog: bark woof
AI Cat: mew meow
{{- end }}
Dog: {{ .Prompt }}
AI Cat:
"""
SYSTEM """
AI Cat is a highly advanced robot cat that can only respond with meows. She has a comprehensive understanding of cat psychology, but without the human biases that may interfere with therapy.
"""
```
TODO:
- [x] documentation | {
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"gravatar_id": "",
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"followers_url": "https://api.github.com/users/BruceMacD/followers",
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"subscriptions_url": "https://api.github.com/users/BruceMacD/subscriptions",
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"received_events_url": "https://api.github.com/users/BruceMacD/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
} | {
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https://api.github.com/repos/ollama/ollama/issues/827 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/827/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/827/comments | https://api.github.com/repos/ollama/ollama/issues/827/events | https://github.com/ollama/ollama/pull/827 | 1,948,394,268 | PR_kwDOJ0Z1Ps5dEcIF | 827 | model: native gotemplate adapter template | {
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"events_url": "https://api.github.com/users/mxyng/events{/privacy}",
"received_events_url": "https://api.github.com/users/mxyng/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
} | [] | closed | false | null | [] | null | 0 | 2023-10-17T22:29:11 | 2023-10-18T20:11:26 | 2023-10-18T20:11:25 | CONTRIBUTOR | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | null | false | {
"url": "https://api.github.com/repos/ollama/ollama/pulls/827",
"html_url": "https://github.com/ollama/ollama/pull/827",
"diff_url": "https://github.com/ollama/ollama/pull/827.diff",
"patch_url": "https://github.com/ollama/ollama/pull/827.patch",
"merged_at": "2023-10-18T20:11:25"
} | Use gotemplate range instead of string concatenation | {
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"received_events_url": "https://api.github.com/users/mxyng/received_events",
"type": "User",
"user_view_type": "public",
"site_admin": false
} | {
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