Merge branch 'main' of hf.co:catid/cat-llama-3-8b-awq-q128-w4-gemm
Browse files
README.md
CHANGED
|
@@ -1,3 +1,16 @@
|
|
| 1 |
AI Model Name: Llama 3 8B "Built with Meta Llama 3" https://llama.meta.com/llama3/license/
|
| 2 |
|
| 3 |
This is the result of running AutoAWQ to quantize the LLaMA-3 8B model to ~4 bits/parameter.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
AI Model Name: Llama 3 8B "Built with Meta Llama 3" https://llama.meta.com/llama3/license/
|
| 2 |
|
| 3 |
This is the result of running AutoAWQ to quantize the LLaMA-3 8B model to ~4 bits/parameter.
|
| 4 |
+
|
| 5 |
+
To launch an OpenAI-compatible API endpoint on your Linux server:
|
| 6 |
+
|
| 7 |
+
```
|
| 8 |
+
git lfs install
|
| 9 |
+
git clone https://huggingface.co/catid/cat-llama-3-8b-awq-q128-w4-gemm
|
| 10 |
+
|
| 11 |
+
conda create -n vllm8 python=3.10 -y && conda activate vllm8
|
| 12 |
+
|
| 13 |
+
pip install git+https://github.com/vllm-project/vllm.git
|
| 14 |
+
|
| 15 |
+
python -m vllm.entrypoints.openai.api_server --model cat-llama-3-8b-awq-q128-w4-gemm
|
| 16 |
+
```
|