metadata
tags:
- fp8
- vllm
Meta-Llama-3-70B-Instruct-FP8
Model Overview
Meta-Llama-3-70B-Instruct 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.
Evaluation
Open LLM Leaderboard evaluation scores
| Meta-Llama-3-70B-Instruct | Meta-Llama-3-70B-Instruct-FP8 (this model) |
|
|---|---|---|
| arc-c 25-shot |
72.69 | 72.61 |
| hellaswag 10-shot |
85.50 | 85.41 |
| mmlu 5-shot |
80.18 | 80.06 |
| truthfulqa 0-shot |
62.90 | 62.73 |
| winogrande 5-shot |
83.34 | 83.03 |
| gsm8k 5-shot |
92.49 | 91.12 |
| Average Accuracy |
79.51 | 79.16 |
| Recovery | 100% | 99.55% |