DeepMixtral 8x7b Instruct by cognitivecomputations

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DeepMixtral 8x7b Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepMixtral 8x7b Instruct (cognitivecomputations/DeepMixtral-8x7b-Instruct)

DeepMixtral 8x7b Instruct Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
This is a direct extraction of the 8 experts from [Mixtral-8x7b-Instruct-v0.1] into the DeepSeek-MoE Architecture. It is the first of a few MoE expert extraction and modification projects.
Supported Languages 
languages_supported (English), proficiency (Unknown)
Input Output 
Input Format:
Prompts should be enclosed with `[INST]` and `[/INST]` tokens.
Accepted Modalities:
text
LLM NameDeepMixtral 8x7b Instruct
Repository ๐Ÿค—https://huggingface.co/cognitivecomputations/DeepMixtral-8x7b-Instruct 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-02-22
Maintainercognitivecomputations
Model Typedeepseek
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
Supported Languagesen
Model ArchitectureDeepseekForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Rank the DeepMixtral 8x7b Instruct 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 v20241227