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README.md

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+# QServe benchmarks
+
+This huggingface repository contains configurations and tokenizer files for all models benchmarked in our [QServe](https://github.com/mit-han-lab/qserve) project:
+
+- Llama-3-8B
+- Llama-2-7B
+- Llama-2-13B
+- Llama-2-70B
+- Llama-30B
+- Mistral-7B
+- Yi-34B
+- Qwen1.5-72B
+
+Please clone this repository if you wish to run our QServe benchmark code without cloning full models.
+
+Please consider citing our paper if it is helpful:
+
+```
+@article{lin2024qserve,
+  title={QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving},
+  author={Lin*, Yujun and Tang*, Haotian and Yang*, Shang and Zhang, Zhekai and Xiao, Guangxuan and Gan, Chuang and Han, Song},
+  year={2024}
+}
+```