What are the hardware requirements for Kimi K3?

Kimi K3 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kimi K3 and how large is it?

Kimi K3 is developed by tiny-random, a model with 214m 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 K3?

Kimi K3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kimi K3 by tiny-random — VRAM 0.1GB

Name: Kimi K3
Author: tiny-random

Kimi K3 is an open-source language model by tiny-random. Features: 214m LLM, VRAM: 0.1GB.

8-bit Base model:moonshotai/kimi-k3 Base model:quantized:moonshota... Compressed-tensors Custom code Feature-extraction Image-text-to-text Kimi k3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tiny-random/kimi-k3

Kimi K3 Parameters and Internals

LLM Name	Kimi K3
Repository 🤗	https://huggingface.co/tiny-random/kimi-k3
Base Model(s)	Kimi K3 moonshotai/Kimi-K3
Model Size	214m
Required VRAM	0.1 GB
Updated	2026-08-09
Maintainer	tiny-random
Model Type	kimi_k3
Model Files	0.1 GB
Model Architecture	KimiK3ForConditionalGeneration
Transformers Version	5.15.0.dev0
Tokenizer Class	TikTokenTokenizer
Padding Token	[PAD]

Rank the Kimi K3 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Kimi K3

Best Alternatives	Context / RAM	Downloads	Likes
Kimi K3 Tiny Random	0K / 0.1 GB	58	2