Update README.md

README.md

@@ -1,19 +1,33 @@
 ---
 tags:
-- awq
-- llm
-- quantization
+  - awq
+  - llm
+  - quantization
 ---
 
 # yujiepan/awq-model-zoo
 
 Here are some pre-computed awq information (scales & clips) used in [llm-awq](https://github.com/mit-han-lab/llm-awq).
 
-
 ## Scripts
 
-TODO
+- Install the forked `llm-awq` at [https://github.com/yujiepan-work/llm-awq/tree/a41a08e79d8eb3d6335485b3625410af22a74426](https://github.com/yujiepan-work/llm-awq/tree/a41a08e79d8eb3d6335485b3625410af22a74426). Note: works with transformers==4.35.2
+
+- Generating awq-info.pt:
+
+```bash
+python do_awq.py --model_id mistralai/Mistral-7B-v0.1 --w_bit 8 --q_group_size 128 --dump_awq ./awq-info.pt
+```
 
+- Load a quantized model: You can use the offical repo to get a fake/real quantized model. Alternatively, you can load a fake-quantized model:
+
+```python
+from do_awq import FakeAWQModel
+FakeAWQModel.from_pretrained('mistralai/Mistral-7B-v0.1', awq_meta_path='./awq-info.pt',  output_folder='./tmp/')
+```
+
+Note: the code is not in good shape.
 
 ## Related links
-- https://huggingface.co/datasets/mit-han-lab/awq-model-zoo
+
+- <https://huggingface.co/datasets/mit-han-lab/awq-model-zoo>