What are the hardware requirements for Kimi K2 Instruct?

Kimi K2 Instruct requires approximately 635.6 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kimi K2 Instruct and how large is it?

Kimi K2 Instruct is developed by moonshotai, a model with 1026.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Kimi K2 Instruct?

Kimi K2 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kimi K2 Instruct by moonshotai — VRAM 635.6GB, 128K context

Name: Kimi K2 Instruct
Author: moonshotai

Kimi K2 Instruct is an open-source language model by moonshotai. Features: 1026.5b LLM, VRAM: 635.6GB, Context: 128K, License: other, Instruction-Based, LLM Explorer Score: 0.42.

Conversational Custom code Doi:10.57967/hf/5976 Endpoints compatible Eval-results Fp8 Instruct Kimi k2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/moonshotai/Kimi-K2-Instruct

Kimi K2 Instruct Benchmarks

LLME Score: 0.42453

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Kimi K2 Instruct (moonshotai/Kimi-K2-Instruct)

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Kimi K2 Instruct Parameters and Internals

LLM Name	Kimi K2 Instruct
Repository 🤗	https://huggingface.co/moonshotai/Kimi-K2-Instruct
Model Size	1026.5b
Required VRAM	635.6 GB
Updated	2026-05-10
Maintainer	moonshotai
Model Type	kimi_k2
Instruction-Based	Yes
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
Model Architecture	DeepseekV3ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Vocabulary Size	163840
Torch Data Type	bfloat16

Quantized Models of the Kimi K2 Instruct

Model	Likes	Downloads	VRAM
Kimi K2 Instruct GGUF	229	28416	0 GB
Kimi K2 Instruct 4bit	13	3894	143 GB

Best Alternatives to Kimi K2 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Kimi K2 Instruct 0905	256K / 667.4 GB	497382	701

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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Release v20260328a

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Kimi K2 Instruct by moonshotai