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README.md
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---
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thumbnail: https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/jg2NWmCUfPyzizm2USjMt.jpeg
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datasets:
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- NewEden/Orion-LIT
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- NewEden/Orion-Asstr-Stories-16K
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- Mielikki/Erebus-87k
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- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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- Nitral-AI/ARES-ShareGPT
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned-20k
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- NewEden/Claude-Instruct-2.7K
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- NewEden/Claude-Instruct-5K
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- PocketDoc/Dans-Personamaxx-VN
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- NewEden/vanilla-backrooms-claude-sharegpt
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- PocketDoc/Dans-Prosemaxx-Cowriter-3-S
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- NewEden/Misc-Mang-Sharegpt
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- PocketDoc/Dans-Prosemaxx-Adventure
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- PocketDoc/Dans-Failuremaxx-Adventure-3
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- PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot
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- PocketDoc/Dans-Prosemaxx-InstructWriter-Continue
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base_model: Delta-Vector/Hamanasu-15B-Adventure
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tags:
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- phi
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- roleplay
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- finetune
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- storywriting
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- llama-cpp
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- gguf-my-repo
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---
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# matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF
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This model was converted to GGUF format from [`Delta-Vector/Hamanasu-15B-Adventure`](https://huggingface.co/Delta-Vector/Hamanasu-15B-Adventure) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Delta-Vector/Hamanasu-15B-Adventure) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_0.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_0.gguf -c 2048
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_0.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_0.gguf -c 2048
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```
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