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richardyoung/Kimi-VL-A3B-Thinking-GGUF overview

Kimi VL A3B Thinking GGUF GGUF quantizations of moonshotai/Kimi VL A3B Thinking 2506 https://huggingface.co/moonshotai/Kimi VL A3B Thinking 2506 for use with l…

transformersggufvisionmultimodalllama-cppquantizedmoedeepseek2enbase_model:moonshotai/Kimi-VL-A3B-Thinking-2506base_model:quantized:moonshotai/Kimi-VL-A3B-Thinking-2506license:mitendpoints_compatibleregion:usconversational

Runs locally from ~9.82 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
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Pipeline
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Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Kimi-VL-A3B-Thinking-Q4_K_M.ggufGGUFQ4_K_M9.82 GBDownload
Kimi-VL-A3B-Thinking.ggufGGUFGGUF29.74 GBDownload

Model Details

Model IDrichardyoung/Kimi-VL-A3B-Thinking-GGUF
Authorrichardyoung
Pipeline—
Licensemit
Base modelmoonshotai/Kimi-VL-A3B-Thinking-2506
Last modified2026-09-26T19:08:50.000Z

Model README

---

language:

  • en

license: mit

library_name: transformers

base_model: moonshotai/Kimi-VL-A3B-Thinking-2506

tags:

  • vision
  • multimodal
  • llama-cpp
  • gguf
  • quantized
  • moe
  • deepseek2

---

Kimi-VL-A3B-Thinking GGUF

GGUF quantizations of moonshotai/Kimi-VL-A3B-Thinking-2506 for use with llama.cpp and Ollama.

Model Description

Kimi-VL-A3B-Thinking is a powerful vision-language model with extended thinking capabilities from Moonshot AI. It features a Mixture of Experts (MoE) architecture built on DeepSeek2 for efficient inference with strong reasoning capabilities.

Key Features

  • Vision & Reasoning - Understands images and uses chain-of-thought reasoning
  • 128K Context - Massive 131,072 token context window
  • MoE Architecture - 64 experts + 2 shared experts for efficient inference
  • DeepSeek2 Base - Built on proven DeepSeek2 architecture with MLA attention

Available Quantizations

| Filename | Quant | Size | Description |

|----------|-------|------|-------------|

| Kimi-VL-A3B-Thinking-Q4_K_M.gguf | Q4_K_M | 9.8 GB | Best balance of quality and speed (recommended) |

| Kimi-VL-A3B-Thinking.gguf | F16 | 30 GB | Full precision |

Usage

With Ollama

# Pull and run (Q4_K_M by default)
ollama run richardyoung/kimi-vl-a3b-thinking

# Or specific quantization
ollama run richardyoung/kimi-vl-a3b-thinking:f16

With llama.cpp

# Download a quantization
wget https://huggingface.co/richardyoung/Kimi-VL-A3B-Thinking-GGUF/resolve/main/Kimi-VL-A3B-Thinking-Q4_K_M.gguf

# Run with llama.cpp
./llama-cli -m Kimi-VL-A3B-Thinking-Q4_K_M.gguf -p "Analyze this image step by step:" --image your_image.jpg

Technical Requirements

  • Minimum: 16GB RAM
  • Recommended: 32GB RAM or Apple Silicon Mac with 24GB+ unified memory

Chat Template

Kimi-VL uses a custom template format:

<|im_system|>system<|im_middle|>{system_message}<|im_end|>
<|im_user|>user<|im_middle|>{user_message}<|im_end|>
<|im_assistant|>assistant<|im_middle|>{assistant_response}<|im_end|>

Links

Credits

  • Original Model: Moonshot AI
  • Quantization: Richard Young (deepneuro.ai)

License

MIT License

---

Built & maintained by Richard Young · DeepNeuro

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