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Mixtral-8x22B-Instruct-v0.1-FP8

Text Generation
Transformers
Safetensors
mixtral
fp8
vllm
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -17,12 +17,12 @@ Produced using [AutoFP8 with calibration samples from ultrachat](https://github.
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  ### Open LLM Leaderboard evaluation scores
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  | | Mixtral-8x22B-Instruct-v0.1 | Mixtral-8x22B-Instruct-v0.1-FP8<br>(this model) |
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  | :------------------: | :----------------------: | :------------------------------------------------: |
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- | arc-c<br>25-shot | 72.70 | 69.19 |
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- | hellaswag<br>10-shot | 89.08 | 82.49 |
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- | mmlu<br>5-shot | 77.77 | 70.61 |
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- | truthfulqa<br>0-shot | 68.14 | 65.73 |
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- | winogrande<br>5-shot | 85.16 | 82.63 |
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- | gsm8k<br>5-shot | 82.03 | 76.57 |
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- | **Average<br>Accuracy** | **79.15** | **74.53** |
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- | **Recovery** | **100%** | **94.17%** |
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  ### Open LLM Leaderboard evaluation scores
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  | | Mixtral-8x22B-Instruct-v0.1 | Mixtral-8x22B-Instruct-v0.1-FP8<br>(this model) |
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  | :------------------: | :----------------------: | :------------------------------------------------: |
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+ | arc-c<br>25-shot (acc_norm) | 72.70 | 72.53 |
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+ | hellaswag<br>10-shot (acc_norm) | 89.08 | 88.10 |
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+ | mmlu<br>5-shot | 77.77 | 76.08 |
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+ | truthfulqa<br>0-shot (acc) | 68.14 | 66.32 |
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+ | winogrande<br>5-shot (acc) | 85.16 | 84.37 |
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+ | gsm8k<br>5-shot (strict-match) | 82.03 | 83.40 |
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+ | **Average<br>Accuracy** | **79.15** | **78.47** |
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+ | **Recovery** | **100%** | **99.14%** |
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