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tags: |
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- fp8 |
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- vllm |
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# Meta-Llama-3-8B-Instruct-FP8 |
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## Model Overview |
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Meta-Llama-3-8B-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-3-8B-Instruct | Meta-Llama-3-8B-Instruct-FP8<br>(this model) | |
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| :------------------: | :----------------------: | :------------------------------------------------: | |
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| arc-c<br>25-shot | 62.54 | 61.77 | |
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| hellaswag<br>10-shot | 78.83 | 78.56 | |
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| mmlu<br>5-shot | 66.60 | 66.27 | |
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| truthfulqa<br>0-shot | 52.44 | 52.35 | |
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| winogrande<br>5-shot | 75.93 | 76.4 | |
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| gsm8k<br>5-shot | 75.96 | 73.99 | |
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| **Average<br>Accuracy** | **68.71** | **68.22** | |
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| **Recovery** | **100%** | **99.28%** | |
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