Update model card

README.md

@@ -3,7 +3,7 @@ language: en
 license: apache-2.0
 ---
 
-# SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
+# SQFT Fine-tuned Model: sqft-qa-sparsepeft-mistral-7b-v0.3-50-gptq-gsm8k-heu
 
 - Base Model: [IntelLabs/sqft-mistral-7b-v0.3-50-base-gptq](https://huggingface.co/IntelLabs/sqft-mistral-7b-v0.3-50-base-gptq)
 - Sparsity: 50%
@@ -15,9 +15,28 @@ license: apache-2.0
 ### Evaluation
 
 ```bash
-MODEL_PATH=IntelLabs/sqft-qa-sparsepeft-mistral-7b-v0.3-50-gptq-gsm8k-heu
-lm_eval --model hf --model_args pretrained=${MODEL_PATH},add_bos_token=True,trust_remote_code=True --tasks gsm8k --batch_size auto:4
+MODEL_NAME=IntelLabs/sqft-qa-sparsepeft-mistral-7b-v0.3-50-gptq-gsm8k-heu
+lm_eval --model hf --model_args pretrained=${MODEL_NAME},add_bos_token=True,trust_remote_code=True --tasks gsm8k --batch_size auto:4
 ```
 
 Refer to our [repo](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT) for the environment information to run this command.
 
+## Model Sources
+
+- **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT)
+- **Paper:** [SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models]()
+
+## Citation
+
+```bash
+@article{munoz2024sqft,
+  title = {SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models},
+  author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
+  journal={},
+  year={2024}
+}
+```
+
+## License
+
+Apache-2.0