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Kimi K2 Instruct by unsloth

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  Autotrain compatible Base model:moonshotai/kimi-k2-... Base model:quantized:moonshota...   Conversational   Custom code   Deepseek v3   Endpoints compatible   Fp8   Instruct   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Kimi-K2-Instruct 

Kimi K2 Instruct Benchmarks

LLME Score: 0.26279
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 (unsloth/Kimi-K2-Instruct)
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Kimi K2 Instruct Parameters and Internals

LLM NameKimi K2 Instruct
Repository 🤗https://huggingface.co/unsloth/Kimi-K2-Instruct 
Base Model(s)  Kimi K2 Instruct   moonshotai/Kimi-K2-Instruct
Required VRAM652.7 GB
Updated2025-09-23
Maintainerunsloth
Model Typedeepseek_v3
Instruction-BasedYes
Model Files  2.9 GB: 1-of-61   17.1 GB: 10-of-61   17.1 GB: 11-of-61   17.1 GB: 12-of-61   17.1 GB: 13-of-61   17.1 GB: 14-of-61   17.1 GB: 15-of-61   17.1 GB: 16-of-61   17.1 GB: 17-of-61   17.1 GB: 18-of-61   17.1 GB: 19-of-61   17.1 GB: 2-of-61   17.1 GB: 20-of-61   17.1 GB: 21-of-61   17.1 GB: 22-of-61   17.1 GB: 23-of-61   17.1 GB: 24-of-61   17.1 GB: 25-of-61   17.1 GB: 26-of-61   17.1 GB: 27-of-61   17.1 GB: 28-of-61   17.1 GB: 29-of-61   17.1 GB: 3-of-61   17.1 GB: 30-of-61   17.1 GB: 31-of-61   17.1 GB: 32-of-61   17.1 GB: 33-of-61   17.1 GB: 34-of-61   17.1 GB: 35-of-61   17.1 GB: 36-of-61   17.1 GB: 37-of-61   17.1 GB: 38-of-61   17.1 GB: 39-of-61   17.1 GB: 4-of-61   17.1 GB: 40-of-61   17.1 GB: 41-of-61   17.1 GB: 42-of-61   17.1 GB: 43-of-61   17.1 GB: 44-of-61
Model ArchitectureDeepseekV3ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.53.2
Vocabulary Size163840
Torch Data Typebfloat16

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Kimi K2 Instruct GGUF128K /  GB52188220
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Kimi-K2-Instruct.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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