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henrybravo/Qwen3.5-35B-A3B-8bit
Qwen3.5-35B-A3B-8bit is a image-text-to-text model from henrybravo. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
This repository provides an MLX quantized conversion of Qwen/Qwen3.5-35B-A3B, prepared for local inference on Apple Silicon.
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From the Hugging Face model README
This repository provides an MLX quantized conversion of Qwen/Qwen3.5-35B-A3B, prepared for local inference on Apple Silicon.
This is an unofficial conversion published by henrybravo. All model capabilities, limitations, and licensing inherit from the original Qwen release.
Qwen/Qwen3.5-35B-A3BQwen3_5MoeForConditionalGeneration (qwen3_5_moe)64, weights at 8-bitsafetensors (8 shards)mlx-vlm / MLX ecosystem on macOSThis 8-bit build prioritizes output quality and fidelity over speed.
40 GBmax_tokens = 16384pip install -U mlx==0.31.0 mlx-lm==0.31.0 mlx-vlm==0.4.0 transformers==5.3.0
For OpenAI-compatible local serving and routing on top of MLX models, see mlx-router.
You can run the examples below directly with mlx_vlm.generate, or serve the model through mlx-router.
python -m mlx_vlm.generate \
--model /path/to/Qwen3.5-35B-A3B-8bit \
--max-tokens 100 \
--temperature 0.0 \
--prompt "Hello, what model are you?"
python -m mlx_vlm.generate \
--model /path/to/Qwen3.5-35B-A3B-8bit \
--max-tokens 200 \
--temperature 0.0 \
--prompt "Describe this image in detail." \
--image https://upload.wikimedia.org/wikipedia/commons/thumb/a/a7/Camponotus_flavomarginatus_ant.jpg/320px-Camponotus_flavomarginatus_ant.jpg
mlx_vlm.convert \
--hf-path Qwen/Qwen3.5-35B-A3B \
--mlx-path ~/models/models--henrybravo--Qwen3.5-35B-A3B-8bit \
-q \
--q-bits 8 \
--dtype bfloat16