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Kimi K2 Instruct 4bit by mlx-community

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  4-bit   4bit Base model:moonshotai/kimi-k2-... Base model:quantized:moonshota...   Conversational   Custom code   Instruct   Kimi k2   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Kimi-K2-Instruct-4bit 

Kimi K2 Instruct 4bit Benchmarks

LLME Score: 0.35855
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kimi K2 Instruct 4bit (mlx-community/Kimi-K2-Instruct-4bit)
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Kimi K2 Instruct 4bit Parameters and Internals

LLM NameKimi K2 Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Kimi-K2-Instruct-4bit 
Base Model(s)  Kimi K2 Instruct   moonshotai/Kimi-K2-Instruct
Model Size1026.4b
Required VRAM143.2 GB
Updated2025-07-20
Maintainermlx-community
Model Typekimi_k2
Instruction-BasedYes
Model Files  4.2 GB: 1-of-180   3.2 GB: 2-of-180   3.3 GB: 3-of-180   3.2 GB: 4-of-180   3.2 GB: 5-of-180   3.3 GB: 6-of-180   3.2 GB: 7-of-180   3.2 GB: 8-of-180   3.3 GB: 9-of-180   3.2 GB: 10-of-180   3.2 GB: 11-of-180   3.3 GB: 12-of-180   3.2 GB: 13-of-180   3.2 GB: 14-of-180   3.3 GB: 15-of-180   3.2 GB: 16-of-180   3.2 GB: 17-of-180   3.3 GB: 18-of-180   3.2 GB: 19-of-180   3.2 GB: 20-of-180   3.3 GB: 21-of-180   3.2 GB: 22-of-180   3.2 GB: 23-of-180   3.3 GB: 24-of-180   3.2 GB: 25-of-180   3.2 GB: 26-of-180   3.3 GB: 27-of-180   3.2 GB: 28-of-180   3.2 GB: 29-of-180   3.3 GB: 30-of-180   3.2 GB: 31-of-180   3.2 GB: 32-of-180   3.3 GB: 33-of-180   3.2 GB: 34-of-180   3.2 GB: 35-of-180   3.3 GB: 36-of-180   3.2 GB: 37-of-180   3.2 GB: 38-of-180   3.3 GB: 39-of-180   3.2 GB: 40-of-180   3.2 GB: 41-of-180   3.3 GB: 42-of-180   3.2 GB: 43-of-180   3.2 GB: 44-of-180
Quantization Type4bit
Model ArchitectureDeepseekV3ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Vocabulary Size163840
Torch Data Typebfloat16

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Release v20241124
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