Downloads · 30 days
33
18% of all-time downloads
kqw8/Qwen3.5-27B-MLX-4bit
Qwen3.5-27B-MLX-4bit is a text generation model from kqw8. 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.
This is an unofficial MLX 4-bit quantization of Qwen/Qwen3.5-27B.
Downloads · 30 days
33
18% of all-time downloads
All-time downloads
179
Public
Parameters
26.9B
15.2 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors15.1 GB · 100%
How the weights are stored.
U3226.9B · 100%
From the Hugging Face model README
This is an unofficial MLX 4-bit quantization of
Qwen/Qwen3.5-27B.
It was converted from the official Hugging Face weights with mlx-lm.
This repository is not affiliated with or endorsed by Qwen or Alibaba.
mlx_lm.convert \
--hf-path Qwen/Qwen3.5-27B \
--mlx-path Qwen3.5-27B-MLX-4bit \
--quantize \
--q-bits 4 \
--q-group-size 64
Quantization reported by mlx_lm.convert:
Quantized model with 4.501 bits per weight.
mlx_lm.generate \
--model Qwen3.5-27B-MLX-4bit \
--prompt "用一句话说明你是什么模型。" \
--max-tokens 80 \
--chat-template-config '{"enable_thinking": false}'
OpenAI-compatible local server:
mlx_lm.server \
--model Qwen3.5-27B-MLX-4bit \
--host 127.0.0.1 \
--port 8080 \
--chat-template-args '{"enable_thinking": false}'
Tested on Apple Silicon with mlx-lm 0.31.3:
Prompt: 19 tokens, 41.697 tokens-per-sec
Generation: 21 tokens, 15.582 tokens-per-sec
Peak memory: 15.411 GB
Only text generation has been smoke-tested. The base model is multimodal, but this MLX conversion has not yet been validated for image input.
The original model is released under Apache-2.0. See the upstream model page and license: