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README.md

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+---
+license: mit
+---
+
+# Compressed LLM Model Zone
+
+The models are prepared by [Visual Informatics Group @ University of Texas at Austin (VITA-group)](https://vita-group.github.io/).
+
+License: [MIT License](https://opensource.org/license/mit/)
+
+Setup environment
+```shell
+pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+pip install transformers==4.31.0
+pip install huggingface_hub accelerate
+```
+
+How to use
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+base_model = 'llama-2-7b'
+comp_degree = 0.1
+comp_method = 'sparsegpt_unstructured'
+model_path = f'vita-group/comp-{arch}_{comp_method}_s{comp_degree}'
+model = AutoModelForCausalLM.from_pretrained(
+        model_path, 
+        torch_dtype=torch.float16, 
+        low_cpu_mem_usage=True, 
+        device_map="auto"
+    )
+tokenizer = AutoTokenizer.from_pretrained('meta-llama/Llama-2-7b')
+input_ids = tokenizer('Hello! I am a VITA-compressed-LLM chatbot!', return_tensors='pt').input_ids
+outputs = model.generate(input_ids)
+```
+
+
+|    | Base Model   | Model Size   | Compression Method     | Compression Degree                                                                    |
+|---:|:-------------|:-------------|:-----------------------|:--------------------------------------------------------------------------------------|
+|  0 | Llama-2      | 7b           | magnitude_unstructured | [s0.1](https://huggingface.co/vita-group/comp-llama-2-7b_magnitude_unstructured_s0.1) |
+|  1 | Llama-2      | 7b           | magnitude_unstructured | [s0.2](https://huggingface.co/vita-group/comp-llama-2-7b_magnitude_unstructured_s0.2) |
+|  2 | Llama-2      | 7b           | magnitude_unstructured | [s0.3](https://huggingface.co/vita-group/comp-llama-2-7b_magnitude_unstructured_s0.3) |
+|  3 | Llama-2      | 7b           | magnitude_unstructured | [s0.5](https://huggingface.co/vita-group/comp-llama-2-7b_magnitude_unstructured_s0.5) |
+|  4 | Llama-2      | 7b           | magnitude_unstructured | [s0.6](https://huggingface.co/vita-group/comp-llama-2-7b_magnitude_unstructured_s0.6) |
+|  5 | Llama-2      | 7b           | sparsegpt_unstructured | [s0.1](https://huggingface.co/vita-group/comp-llama-2-7b_sparsegpt_unstructured_s0.1) |
+|  6 | Llama-2      | 7b           | sparsegpt_unstructured | [s0.2](https://huggingface.co/vita-group/comp-llama-2-7b_sparsegpt_unstructured_s0.2) |
+|  7 | Llama-2      | 7b           | sparsegpt_unstructured | [s0.3](https://huggingface.co/vita-group/comp-llama-2-7b_sparsegpt_unstructured_s0.3) |
+|  8 | Llama-2      | 7b           | sparsegpt_unstructured | [s0.5](https://huggingface.co/vita-group/comp-llama-2-7b_sparsegpt_unstructured_s0.5) |
+|  9 | Llama-2      | 7b           | sparsegpt_unstructured | [s0.6](https://huggingface.co/vita-group/comp-llama-2-7b_sparsegpt_unstructured_s0.6) |
+| 10 | Llama-2      | 7b           | wanda_unstructured     | [s0.1](https://huggingface.co/vita-group/comp-llama-2-7b_wanda_unstructured_s0.1)     |
+| 11 | Llama-2      | 7b           | wanda_unstructured     | [s0.2](https://huggingface.co/vita-group/comp-llama-2-7b_wanda_unstructured_s0.2)     |
+| 12 | Llama-2      | 7b           | wanda_unstructured     | [s0.3](https://huggingface.co/vita-group/comp-llama-2-7b_wanda_unstructured_s0.3)     |
+| 13 | Llama-2      | 7b           | wanda_unstructured     | [s0.5](https://huggingface.co/vita-group/comp-llama-2-7b_wanda_unstructured_s0.5)     |
+| 14 | Llama-2      | 7b           | wanda_unstructured     | [s0.6](https://huggingface.co/vita-group/comp-llama-2-7b_wanda_unstructured_s0.6)     |
+