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tags: |
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- fp8 |
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- vllm |
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# Meta-Llama-3-70B-Instruct-FP8 |
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## Model Overview |
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Meta-Llama-3-70B-Instruct quantized to FP8 weights and activations using per-tensor quantization, ready for inference with vLLM >= 0.5.0. |
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## Usage and Creation |
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Produced using [AutoFP8 with calibration samples from ultrachat](https://github.com/neuralmagic/AutoFP8/blob/147fa4d9e1a90ef8a93f96fc7d9c33056ddc017a/example_dataset.py). |
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## Evaluation |
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### Open LLM Leaderboard evaluation scores |
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| | Meta-Llama-3-70B-Instruct | Meta-Llama-3-70B-Instruct-FP8<br>(this model) | |
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| :------------------: | :----------------------: | :------------------------------------------------: | |
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| arc-c<br>25-shot | 72.69 | 72.61 | |
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| hellaswag<br>10-shot | 85.50 | 85.41 | |
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| mmlu<br>5-shot | 80.18 | 80.06 | |
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| truthfulqa<br>0-shot | 62.90 | 62.73 | |
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| winogrande<br>5-shot | 83.34 | 83.03 | |
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| gsm8k<br>5-shot | 92.49 | 91.12 | |
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| **Average<br>Accuracy** | **79.51** | **79.16** | |
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| **Recovery** | **100%** | **99.55%** | |
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