Mixtral Debug by pingzhili

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Mixtral Debug is an open-source language model by pingzhili. Features: 6.5m LLM, Context: 32K, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Endpoints compatible   Mixtral   Region:us   Safetensors

Mixtral Debug Benchmarks

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

Mixtral Debug Parameters and Internals

LLM NameMixtral Debug
Repository 🤗https://huggingface.co/pingzhili/mixtral-debug 
Model Size6.5m
Required VRAM0 GB
Updated2026-07-10
Maintainerpingzhili
Model Typemixtral
Model Files  0.0 GB
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Rank the Mixtral Debug 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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Release v20260328a