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Kimi K2.7 Code by moonshotai

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Kimi K2.7 Code is an open-source language model by moonshotai. Features: 1058.6b LLM, VRAM: 344GB, License: other, LLM Explorer Score: 0.63.

  Compressed-tensors   Conversational   Custom code   Image-feature-extraction   Image-text-to-text   Kimi k25   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/moonshotai/Kimi-K2.7-Code 

Kimi K2.7 Code Benchmarks

LLME Score: 0.63176
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kimi K2.7 Code (moonshotai/Kimi-K2.7-Code)
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Kimi K2.7 Code Parameters and Internals

LLM NameKimi K2.7 Code
Repository 🤗https://huggingface.co/moonshotai/Kimi-K2.7-Code 
Model Size1058.6b
Required VRAM344 GB
Updated2026-06-21
Maintainermoonshotai
Model Typekimi_k25
Model Files  1.0 GB: 1-of-64   9.8 GB: 2-of-64   9.8 GB: 3-of-64   9.8 GB: 4-of-64   9.8 GB: 5-of-64   9.8 GB: 6-of-64   9.8 GB: 7-of-64   9.8 GB: 8-of-64   9.8 GB: 9-of-64   9.8 GB: 10-of-64   9.8 GB: 11-of-64   9.8 GB: 12-of-64   9.8 GB: 13-of-64   9.8 GB: 14-of-64   9.8 GB: 15-of-64   9.8 GB: 16-of-64   9.8 GB: 17-of-64   9.8 GB: 18-of-64   9.8 GB: 19-of-64   9.8 GB: 20-of-64   9.8 GB: 21-of-64   9.8 GB: 22-of-64   9.8 GB: 23-of-64   9.8 GB: 24-of-64   9.8 GB: 25-of-64   9.8 GB: 26-of-64   9.8 GB: 27-of-64   9.8 GB: 28-of-64   9.8 GB: 29-of-64   9.8 GB: 30-of-64   9.8 GB: 31-of-64   9.8 GB: 32-of-64   9.8 GB: 33-of-64   9.8 GB: 34-of-64   9.8 GB: 35-of-64   9.8 GB: 36-of-64
Model ArchitectureKimiK25ForConditionalGeneration
Licenseother

Quantized Models of the Kimi K2.7 Code

Model
Likes
Downloads
VRAM
Kimi K2.7 Code Mlx DQ3 K M Q831456186 GB

Best Alternatives to Kimi K2.7 Code

Best Alternatives
Context / RAM
Downloads
Likes
Kimi K2.60K / 334.2 GB26764731467
Kimi K2.50K / 344 GB13540332822
Note: green Score (e.g. "73.2") means that the model is better than moonshotai/Kimi-K2.7-Code.

Rank the Kimi K2.7 Code Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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