Merged Model Arxiv:2406.07188 Autotrain compatible Base model:mistralai/mixtral-8... Base model:prometheus-eval/pro... Conversational Endpoints compatible Instruct Mistralai/mixtral-8x7b-instruc... Mixtral Model-index Moe Prometheus-eval/prometheus-8x7... Region:us Safetensors Sharded Tensorflow
Merge Mixtral Prometheus 8x7B Benchmarks
MMLU Pro: 29.82
GPQA: 7.83
MUSR: 9.59
BBH: 34.65
IFEval: 57.44 vs 88 (so35)-34.7%
MATH Lvl 5: 8.31
LLME Score: 0.28262
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Merge Mixtral Prometheus 8x7B Parameters and Internals
| Model Type |
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| Additional Notes |
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Best Alternatives to Merge Mixtral Prometheus 8x7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7B Instruct V0.1 | 32K / 93.6 GB | 487335 | 4206 |
| ...rkrautLM Mixtral 8x7B Instruct | 32K / 93.6 GB | 50737 | 22 |
| Dolphin 2.5 Mixtral 8x7b | 32K / 93.6 GB | 47536 | 1210 |
| Notux 8x7b V1 | 32K / 93.6 GB | 57 | 165 |
| BagelMIsteryTour V2 8x7B | 32K / 93.5 GB | 92 | 16 |
| Mixtral 8x7B Instruct V0.1 FP8 | 32K / 47.1 GB | 16817 | 3 |
| Karakuri Lm 8x7b Instruct V0.1 | 32K / 93.6 GB | 1110 | 19 |
| XLAM V0.1 R | 32K / 93.6 GB | 178 | 52 |
| Autotrain Xva0j Mixtral8x7b | 32K / 93.6 GB | 69 | 0 |
| TeTO MS 8x7b | 32K / 93.7 GB | 21 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Merge-Mixtral-Prometheus-8x7B .
Rank the Merge Mixtral Prometheus 8x7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110