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asksolz/munin-qwen35-2b-text-4bit-mlx
munin-qwen35-2b-text-4bit-mlx is a text generation model from asksolz. 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.
Text-only 4-bit MLX conversion of Qwen/Qwen3.5-2B
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How the weights are stored.
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From the Hugging Face model README
Text-only 4-bit MLX conversion of Qwen/Qwen3.5-2B
Converted in-house from Qwen's official weights — deliberately not re-published from a third-party quantization, so the bundle shipped to devices has no intermediate publisher in its supply chain.
| source repo | Qwen/Qwen3.5-2B (official) |
| source revision | 15852e8c16360a2fea060d615a32b45270f8a8fc |
| converted with | mlx_lm 0.31.2, mlx 0.31.1 |
| command | mlx_lm.convert --hf-path Qwen/Qwen3.5-2B --q-bits 4 --q-group-size 64 |
| result | 4.503 bits/weight |
The conversion is reproducible: pin the source revision above, re-run the
command, and compare against the SHA-256 values in manifest.json.
The vision tower is dropped during conversion (Model.sanitize discards
vision_tower.* / model.visual.*), so this bundle carries language weights
only — 1059 MB versus 1749 MB for the multimodal 4-bit build. Munin never uses
the image path.
manifest.json carries a SHA-256 for every file. The app hashes the bundle
after download and refuses to activate the model on any mismatch.
Thinking mode is on by default. Apply the chat template with
enable_thinking=False to get a clean answer; otherwise the model emits its
reasoning trace as the response body. The template prefills an empty
<think>\n\n</think> block when thinking is disabled.
| context | 262 144 |
| layers | 24 (18 linear-attention, 6 full-attention) |
| vocab | 248 320 |
| eos | `< |
Apache 2.0, inherited from the base model.