Magician MoE 4x7B by FelixChao

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  Autotrain compatible   Codegen Deepseek-ai/deepseek-coder-6.7...   Endpoints compatible   Ise-uiuc/magicoder-s-cl-7b   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow Wizardlm/wizardcoder-python-7b...   Wizardlm/wizardmath-7b-v1.0

Magician MoE 4x7B Benchmarks

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

Model Type 
Mixture of Experts (MoE)
Additional Notes 
The model is a combination of smaller models, including deepseek-ai/deepseek-coder-6.7b-instruct, ise-uiuc/Magicoder-S-CL-7B, WizardLM/WizardMath-7B-V1.0, and WizardLM/WizardCoder-Python-7B-V1.0.
LLM NameMagician MoE 4x7B
Repository ๐Ÿค—https://huggingface.co/FelixChao/Magician-MoE-4x7B 
Model Size19.7b
Required VRAM78.8 GB
Updated2025-09-20
MaintainerFelixChao
Model Typemixtral
Model Files  20.0 GB: 1-of-4   19.8 GB: 2-of-4   19.8 GB: 3-of-4   19.2 GB: 4-of-4
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Magician MoE 4x7B

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Context / RAM
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CodeLlama 4x7B Experts Base16K / 39.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than FelixChao/Magician-MoE-4x7B.

Rank the Magician 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