Kimi K2 Instruct 0905 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

Kimi K2 Instruct 0905 Benchmarks

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 0905 (unsloth/Kimi-K2-Instruct-0905)
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Kimi K2 Instruct 0905 Parameters and Internals

LLM NameKimi K2 Instruct 0905
Repository ๐Ÿค—https://huggingface.co/unsloth/Kimi-K2-Instruct-0905 
Base Model(s)  Kimi K2 Instruct 0905   moonshotai/Kimi-K2-Instruct-0905
Required VRAM667.4 GB
Updated2025-09-10
Maintainerunsloth
Model Typedeepseek_v3
Instruction-BasedYes
Model Files  0.5 GB: 1-of-62   17.1 GB: 2-of-62   17.1 GB: 3-of-62   17.1 GB: 4-of-62   17.1 GB: 5-of-62   17.1 GB: 6-of-62   17.1 GB: 7-of-62   17.1 GB: 8-of-62   17.1 GB: 9-of-62   17.1 GB: 10-of-62   17.1 GB: 11-of-62   17.1 GB: 12-of-62   17.1 GB: 13-of-62   17.1 GB: 14-of-62   17.1 GB: 15-of-62   17.1 GB: 16-of-62   17.1 GB: 17-of-62   17.1 GB: 18-of-62   17.1 GB: 19-of-62   17.1 GB: 20-of-62   17.1 GB: 21-of-62   17.1 GB: 22-of-62   17.1 GB: 23-of-62   17.1 GB: 24-of-62   17.1 GB: 25-of-62   17.1 GB: 26-of-62   17.1 GB: 27-of-62   17.1 GB: 28-of-62   17.1 GB: 29-of-62   17.1 GB: 30-of-62   17.1 GB: 31-of-62   17.1 GB: 32-of-62   17.1 GB: 33-of-62   17.1 GB: 34-of-62   17.1 GB: 35-of-62   17.1 GB: 36-of-62   17.1 GB: 37-of-62   17.1 GB: 38-of-62   17.1 GB: 39-of-62   17.1 GB: 40-of-62
Model ArchitectureDeepseekV3ForCausalLM
Licenseother
Context Length262144
Model Max Length262144
Transformers Version4.56.1
Vocabulary Size163840

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Kimi-K2-Instruct-0905.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124