Create README.md

README.md

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+---
+language: en
+license: apache-2.0
+---
+
+# SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
+
+- 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%
+- Quantization: INT4 (GPTQ)
+- Finetune Method: SQFT + QA-SparsePEFT
+- Finetune data: [GSM8K](https://huggingface.co/datasets/openai/gsm8k)
+- Sub-Adapter: Heuristic
+
+### 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
+```
+
+Refer to our [repo](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT) for the environment information to run this command.
+