metadata
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.
Evaluation
Open LLM Leaderboard evaluation scores
| Meta-Llama-3-70B-Instruct | Meta-Llama-3-70B-Instruct-FP8 (this model) |
|
|---|---|---|
| arc-c 25-shot |
71.58 | 72.09 |
| hellaswag 10-shot |
86.94 | 86.83 |
| mmlu 5-shot |
83.97 | 84.06 |
| truthfulqa 0-shot |
66.98 | 66.95 |
| winogrande 5-shot |
82.79 | 83.18 |
| gsm8k 5-shot |
87.56 | 88.93 |
| Average Accuracy |
79.97 | 80.34 |
| Recovery | 100% | 100.46% |