Kimi K2.7 Code 4bit by mlx-community

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Kimi K2.7 Code 4bit is an open-source language model by mlx-community. Features: 1026.4b LLM, VRAM: 142.3GB, Quantized, LLM Explorer Score: 0.35.

  4-bit   4bit   Conversational   Custom code   En   Kimi k25   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Kimi K2.7 Code 4bit Benchmarks

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

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Kimi-K2.7-Code-4bit.

Rank the Kimi K2.7 Code 4bit 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.
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Release v20260328a