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Kimi K2 Instruct by unsloth

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Kimi K2 Instruct is an open-source language model by unsloth. Features: LLM, VRAM: 652.7GB, Context: 128K, License: other, Instruction-Based, LLM Explorer Score: 0.35, ELO: 1432.

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

LMSys ELO: 1432 vs 1272 (so35)12.6%
LLME Score: 0.353
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
Updated2026-04-25
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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Rank the Kimi K2 Instruct 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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