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GOAT Adapt MoE 4x7B by s3nh

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  Autotrain compatible   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/s3nh/GOAT-Adapt-MoE-4x7B 

GOAT Adapt MoE 4x7B Benchmarks

LLME Score: 0.13105
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GOAT Adapt MoE 4x7B (s3nh/GOAT-Adapt-MoE-4x7B)
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GOAT Adapt MoE 4x7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model consists of four experts: GOAT-AI/GOAT-7B-Community, AdaptLLM/law-LLM, AdaptLLM/medicine-LLM, and AdaptLLM/finance-LLM.
Supported Languages 
en (primary)
LLM NameGOAT Adapt MoE 4x7B
Repository 🤗https://huggingface.co/s3nh/GOAT-Adapt-MoE-4x7B 
Model Size19.7b
Required VRAM39.4 GB
Updated2025-09-21
Maintainers3nh
Model Typemixtral
Model Files  10.0 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   9.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than s3nh/GOAT-Adapt-MoE-4x7B.

Rank the GOAT Adapt MoE 4x7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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