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---
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"
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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"
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<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"
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<p align="center">๐งโโ๏ธ <a href="https://www.atla-ai.com/blog">Atla Blog</a> | ๐ <a href="https://arxiv.org/abs/2501.17195v1">Technical report</a> | ๐ป <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
```
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