Create README.md

README.md

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+---
+tags:
+- fp8
+- vllm
+---
+
+# Mixtral-8x22B-Instruct-v0.1-FP8
+
+## Model Overview
+Mixtral-8x22B-Instruct-v0.1 quantized to FP8 weights and activations using per-tensor quantization, ready for inference with vLLM >= 0.5.0.
+
+## Usage and Creation
+Produced using [AutoFP8 with calibration samples from ultrachat](https://github.com/neuralmagic/AutoFP8/blob/147fa4d9e1a90ef8a93f96fc7d9c33056ddc017a/example_dataset.py).
+
+## Evaluation
+
+### Open LLM Leaderboard evaluation scores
+|                      | Meta-Llama-3-70B-Instruct | Meta-Llama-3-70B-Instruct-FP8<br>(this model) |
+| :------------------: | :----------------------: | :------------------------------------------------: |
+| arc-c<br>25-shot     | 71.58                    | 72.09                                              |
+| hellaswag<br>10-shot | 86.94                    | 86.83                                              |
+| mmlu<br>5-shot       | 83.97                    | 84.06                                              |
+| truthfulqa<br>0-shot | 66.98                    | 66.95                                              |
+| winogrande<br>5-shot | 82.79                    | 83.18                                              |
+| gsm8k<br>5-shot      | 87.56                    | 88.93                                              |
+| **Average<br>Accuracy**  | **79.97**                    |              **80.34**                                     |
+| **Recovery**             | **100%**                     |              **100.46%**                                     |
+