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Qwen3.5-0.8B-bf16

mlx-community/Qwen3.5-0.8B-bf16
Vision + text · transformers
bf16 Open on Hugging Face
Parameters
853M
Weights (est.)
≈ 1.7 GB
Mac memory (est.)
8 GB+

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/Qwen3.5-0.8B-bf16 --image photo.jpg --prompt "Describe this image"

Details

Base model
Qwen/Qwen3.5-0.8B-Base (finetune)
Vendor
Qwen
Task
Vision + text
Quantisation
bf16
Licence
apache-2.0
Downloads
1.9K in the last 30 days · 6.5K all time · 0 likes
Published
2026-03-02 · updated 2026-03-02 (8mo ago)
Tags
qwen3_5

Other MLX builds of Qwen/Qwen3.5-0.8B-Base

Build Quantisation Weights Mac memory Downloads
Qwen3.5-0.8B-4bit 4-bit ≈ 625 MB 8 GB+ 60K
Qwen3.5-0.8B-5bit 5-bit ≈ 719 MB 8 GB+ 584
Qwen3.5-0.8B-6bit 6-bit ≈ 813 MB 8 GB+ 349
Qwen3.5-0.8B-8bit 8-bit ≈ 1.0 GB 8 GB+ 7.3K
Qwen3.5-0.8B-bf16 (this one) bf16 ≈ 1.7 GB 8 GB+ 1.9K