|
--- |
|
base_model: AtlaAI/Selene-1-Mini-Llama-3.1-8B |
|
library_name: transformers |
|
language: |
|
- en |
|
- de |
|
- fr |
|
- it |
|
- pt |
|
- es |
|
pipeline_tag: text-generation |
|
tags: |
|
- llama |
|
- atla |
|
- evaluation |
|
- llm-as-a-judge |
|
- meta |
|
- conversational |
|
- lm-judge |
|
- llama-cpp |
|
- gguf-my-repo |
|
license: llama3.1 |
|
--- |
|
|
|
<p align="center"> |
|
<picture> |
|
<source |
|
srcset="https://atla-ai.notion.site/image/https%3A%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2Ff08e6e70-73af-4363-9621-90e906b92ebc%2F1bfb4316-1ce6-40a0-800c-253739cfcdeb%2Fatla_white3x.svg?table=block&id=17c309d1-7745-80f9-8f60-e755409acd8d&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&userId=&cache=v2" |
|
media="(prefers-color-scheme: dark)" |
|
width="200" |
|
/> |
|
<source |
|
srcset="https://atla-ai.notion.site/image/attachment%3A230448e8-921f-45df-b2af-a3158b6c04cd%3Aatla_black2x.png?table=block&id=188309d1-7745-805c-87e4-c39ca54d598d&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&width=2000&userId=&cache=v2" |
|
media="(prefers-color-scheme: light)" |
|
width="200" |
|
/> |
|
<img |
|
src="https://atla-ai.notion.site/image/attachment%3A230448e8-921f-45df-b2af-a3158b6c04cd%3Aatla_black2x.png?table=block&id=188309d1-7745-805c-87e4-c39ca54d598d&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&width=2000&userId=&cache=v2" |
|
width="200" |
|
/> |
|
</picture> |
|
</p> |
|
<p align="center">π§ββοΈ <a href="https://www.atla-ai.com/blog">Atla Blog</a> | π <a href="https://arxiv.org/abs/2501.17195v1">Technical report</a> | π» <a href="https://github.com/atla-ai">GitHub</a></p> |
|
|
|
|
|
# AtlaAI/Selene-1-Mini-Llama-3.1-8B-Q4_K_M-GGUF |
|
This model was converted to GGUF format from [`AtlaAI/Selene-1-Mini-Llama-3.1-8B`](https://huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
|
Refer to the [original model card](https://huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B) for more details on the model. |
|
|
|
## Use with llama.cpp |
|
Install llama.cpp through brew (works on Mac and Linux) |
|
|
|
```bash |
|
brew install llama.cpp |
|
|
|
``` |
|
Invoke the llama.cpp server or the CLI. |
|
|
|
### CLI: |
|
```bash |
|
llama-cli --hf-repo spisupat/Selene-1-Mini-Llama-3.1-8B-Q4_K_M-GGUF --hf-file selene-1-mini-llama-3.1-8b-q4_k_m.gguf -p "The meaning to life and the universe is" |
|
``` |
|
|
|
### Server: |
|
```bash |
|
llama-server --hf-repo spisupat/Selene-1-Mini-Llama-3.1-8B-Q4_K_M-GGUF --hf-file selene-1-mini-llama-3.1-8b-q4_k_m.gguf -c 2048 |
|
``` |
|
|
|
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. |
|
|
|
Step 1: Clone llama.cpp from GitHub. |
|
``` |
|
git clone https://github.com/ggerganov/llama.cpp |
|
``` |
|
|
|
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). |
|
``` |
|
cd llama.cpp && LLAMA_CURL=1 make |
|
``` |
|
|
|
Step 3: Run inference through the main binary. |
|
``` |
|
./llama-cli --hf-repo spisupat/Selene-1-Mini-Llama-3.1-8B-Q4_K_M-GGUF --hf-file selene-1-mini-llama-3.1-8b-q4_k_m.gguf -p "The meaning to life and the universe is" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo spisupat/Selene-1-Mini-Llama-3.1-8B-Q4_K_M-GGUF --hf-file selene-1-mini-llama-3.1-8b-q4_k_m.gguf -c 2048 |
|
``` |
|
|