|
--- |
|
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 |
|
- gptq |
|
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"> |
|
🛝 <a href="https://hf.co/spaces/AtlaAI/selene">Playground</a> | |
|
📄 <a href="https://huggingface.co/spaces/AtlaAI/selene-1-mini-tech-report">Technical report</a> | |
|
💻 <a href="https://github.com/atla-ai/selene-mini">GitHub</a> | |
|
👀 <a href="https://www.atla-ai.com/sign-up-waitlist?utm_source=huggingface&utm_medium=community&utm_campaign=WL_HF_all_communitypost_sel1minilaunch" style="background-image: linear-gradient(to right, red, orange, yellow, green, blue, indigo, violet); -webkit-background-clip: text; color: transparent; animation: rainbow 5s ease infinite; text-decoration: underline; text-decoration-color: currentColor;">Sign up for the API</a> |
|
</p> |
|
|
|
<style> |
|
@keyframes rainbow { |
|
0% { background-position: 0% 50%; } |
|
50% { background-position: 100% 50%; } |
|
100% { background-position: 0% 50%; } |
|
} |
|
</style> |
|
|
|
<style> |
|
@keyframes rainbow { |
|
0% { background-position: 0% 50%; } |
|
50% { background-position: 100% 50%; } |
|
100% { background-position: 0% 50%; } |
|
} |
|
</style> |
|
|
|
# AtlaAI/Selene-1-Mini-Llama-3.1-8B-GPTQ-W4A16 |
|
This model was quantised into a **4-bit** (W4A16) format using GPTQ from [`AtlaAI/Selene-1-Mini-Llama-3.1-8B`](https://huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B). |
|
This was done using vLLM's llm-compressor library (https://docs.vllm.ai/en/latest/features/quantization/int4.html) |
|
|
|
Refer to the [original model card](https://huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B) for more details on the model. |
|
|
|
This quantisation was calibrated using a sample of 512 datapoints from the data used to train Selene-1-Mini. |
|
As a result, our quantised models show minimal performance degradation, losing <0.5% overall across benchmarks! |
|
|
|
For reference, an 8-bit [Llama-3.1-8B](neuralmagic/Meta-Llama-3.1-8B-quantized.w8a8) shows ~1.5% degradation across benchmarks. |
|
|
|
 |
|
|
|
|
