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Kimi-VL-A3B-Thinking-2506-8bit

mlx-community/Kimi-VL-A3B-Thinking-2506-8bit
Vision + text · transformers
8-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-vlm on an Apple silicon Mac:

pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/Kimi-VL-A3B-Thinking-2506-8bit --image photo.jpg --prompt "Describe this image"

Details

Base model
moonshotai/Kimi-VL-A3B-Instruct (quantized)
Vendor
Moonshot · Kimi
Task
Vision + text
Quantisation
8-bit
Licence
mit
Downloads
199 in the last 30 days · 3.2K all time · 2 likes
Published
2025-08-16 · updated 2026-01-27 (9mo ago)
Tags
kimi_vl, feature-extraction, custom_code

Other MLX builds of moonshotai/Kimi-VL-A3B-Instruct

Build Quantisation Weights Mac memory Downloads
Kimi-VL-A3B-Thinking-2506-bf16 bf16 ≈ 32.8 GB 48 GB+ 148
Kimi-VL-A3B-Thinking-2506-8bit (this one) 8-bit — — 199
Kimi-VL-A3B-Thinking-2506-6bit 6-bit — — 198
Kimi-VL-A3B-Thinking-2506-5bit 5-bit — — 150