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Mixtralmerge 8x7B Rebalanced Test by chargoddard

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  Autotrain compatible   Conversational   Dataset:open-orca/slimorca   Endpoints compatible   Merge   Mergekit   Mixtral   Moe   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chargoddard/mixtralmerge-8x7B-rebalanced-test 

Mixtralmerge 8x7B Rebalanced Test Benchmarks

ARC: 68.17 vs 96.7 (so35)-29.5%
HellaSwag: 85.76 vs 95.3 (gpt4)-10%
MMLU: 70.47 vs 88.3 (so35)-20.2%
TruthfulQA: 53.75 vs 59 (gpt4)-8.9%
WinoGrande: 81.29 vs 87.5 (gpt4)-7.1%
GSM8K: 58.23 vs 96.4 (so35)-39.6%
LLME Score: 0.15777
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtralmerge 8x7B Rebalanced Test (chargoddard/mixtralmerge-8x7B-rebalanced-test)
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Mixtralmerge 8x7B Rebalanced Test Parameters and Internals

Additional Notes 
This is a dumb experiment with models merged using the Mixtral approach. The effectiveness of the approach is still uncertain.
Training Details 
Data Sources:
Open-Orca/SlimOrca
Data Volume:
about ten million tokens
Methodology:
Tuned only the routing parameters
Input Output 
Input Format:
ChatML format
LLM NameMixtralmerge 8x7B Rebalanced Test
Repository 🤗https://huggingface.co/chargoddard/mixtralmerge-8x7B-rebalanced-test 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-06-18
Maintainerchargoddard
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19   4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than chargoddard/mixtralmerge-8x7B-rebalanced-test.

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Release v20241124
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