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Autotrain Xva0j Mixtral8x7b by abhishek

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Autotrain Xva0j Mixtral8x7b Benchmarks

ARC: 62.8 vs 96.7 (so35)-35.1%
HellaSwag: 84.44 vs 95.3 (gpt4)-11.4%
MMLU: 67.27 vs 88.3 (so35)-23.8%
TruthfulQA: 50.13 vs 59 (gpt4)-15%
WinoGrande: 74.59 vs 87.5 (gpt4)-14.8%
GSM8K: 5.46 vs 96.4 (so35)-94.3%
LLME Score: 0.23306
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Autotrain Xva0j Mixtral8x7b Parameters and Internals

LLM NameAutotrain Xva0j Mixtral8x7b
Repository 🤗https://huggingface.co/abhishek/autotrain-xva0j-mixtral8x7b 
Model Size46.7b
Required VRAM93.6 GB
Updated2024-09-07
Maintainerabhishek
Model Typemixtral
Instruction-BasedYes
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   0.0 GB
Model ArchitectureMixtralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32008
Torch Data Typebfloat16
Autotrain Xva0j Mixtral8x7b (abhishek/autotrain-xva0j-mixtral8x7b)

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Note: green Score (e.g. "73.2") means that the model is better than abhishek/autotrain-xva0j-mixtral8x7b.

Rank the Autotrain Xva0j Mixtral8x7b Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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