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Phixtral 4x2 8odd by shadowml

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Model Card on HF 🤗: https://huggingface.co/shadowml/phixtral-4x2_8odd 

Phixtral 4x2 8odd Benchmarks

LLME Score: 0.128
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phixtral 4x2 8odd (shadowml/phixtral-4x2_8odd)
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Phixtral 4x2 8odd Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
NLP, Code Generation
Applications:
Research, Commercial Applications
Primary Use Cases:
Text Generation
Additional Notes 
The model is the first Mixure of Experts (MoE) made with two microsoft/phi-2 models, inspired by mistralai/Mixtral-8x7B-v0.1 architecture.
Supported Languages 
en (Primary)
Training Details 
Data Sources:
cognitivecomputations/dolphin-2_6-phi-2, lxuechen/phi-2-dpo
Methodology:
Custom Mixure of Experts using mergekit library with mixtral branch configuration
Hardware Used:
free T4 GPU
Model Architecture:
Inspired by mistralai/Mixtral-8x7B-v0.1 architecture
Input Output 
Input Format:
Tokenized input strings
Accepted Modalities:
text
Output Format:
Generated text
LLM NamePhixtral 4x2 8odd
Repository 🤗https://huggingface.co/shadowml/phixtral-4x2_8odd 
Model Size4.5b
Required VRAM8.9 GB
Updated2025-11-08
Maintainershadowml
Model Typephi-msft
Model Files  8.9 GB: 1-of-1
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than shadowml/phixtral-4x2_8odd.

Rank the Phixtral 4x2 8odd 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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