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tthoman79/Qwen3.5-35B-A3B-Uncensored-Aggressive-mlx-4bit
Qwen3.5-35B-A3B-Uncensored-Aggressive-mlx-4bit is a text generation model from tthoman79. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
A 4-bit MLX quantization of Li101/Qwen3.5-35B-A3B-Uncensored-Aggressive-safetensors, converted for fast local inference on Apple Silicon.
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.safetensors19.5 GB · 100%
How the weights are stored.
U3234.7B · 100%
From the Hugging Face model README
A 4-bit MLX quantization of Li101/Qwen3.5-35B-A3B-Uncensored-Aggressive-safetensors, converted for fast local inference on Apple Silicon.
This is a 35B-parameter A3B Mixture-of-Experts model (~3B active parameters per token), which makes it run considerably faster than a dense 35B while keeping a large effective capacity.
Converted with mlx-lm:
mlx_lm.convert \
--hf-path Li101/Qwen3.5-35B-A3B-Uncensored-Aggressive-safetensors \
--mlx-path Qwen3.5-35B-A3B-Uncensored-Aggressive-mlx-4bit \
-q --q-bits 4 --q-group-size 64
Result: 4.503 bits per weight, ~18.2 GB on disk.
Tested on MacBook Pro M3 36GB (shows 39 GB usable memory) served via oMLX with an 8-bit KV cache and a 64K context window.
For long-context stability on ~36 GB-class Apple Silicon:
Apache-2.0, inherited from the base model. Credit to Li101 for the original fine-tune.