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Qwen3.6-27B-MLX-4bit
AtomicChat/Qwen3.6-27B-MLX-4bit
Qwen3.6-27B-MLX-4bit is a text generation model from AtomicChat. 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.
All-time downloads
4.4K
Public
Parameters
26.9B
15.2 GB on disk
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0
Public
Repo makeup
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.safetensors15.1 GB · 100%
Parameter types
How the weights are stored.
U3226.9B · 100%
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Base models
Model card
From the Hugging Face model README
<center>
<div style="display:flex; justify-content:center; align-items:center; gap:2%; max-width:560px; margin:0 auto;">
<a href="https://atomic.chat" style="flex:0 1 auto; min-width:0;"><img src="https://huggingface.co/AtomicChat/qwen36-27b-MLX-4bit/resolve/main/pill_atomic_v3.png" alt="Atomic Chat" style="width:100%; height:auto; max-width:186px;"></a>
<a href="https://discord.gg/8wGSsvmg4V" style="flex:0 1 auto; min-width:0;"><img src="https://huggingface.co/AtomicChat/qwen36-27b-MLX-4bit/resolve/main/pill_discord_v3.png" alt="Join Discord" style="width:100%; height:auto; max-width:184px;"></a>
<a href="https://github.com/AtomicBot-ai/Atomic-Chat" style="flex:0 1 auto; min-width:0;"><img src="https://huggingface.co/AtomicChat/qwen36-27b-MLX-4bit/resolve/main/pill_github_v3.png" alt="GitHub" style="width:100%; height:auto; max-width:141px;"></a>
</div>
<br/>
<img src="https://huggingface.co/AtomicChat/qwen36-27b-MLX-4bit/resolve/main/hero.png" alt="Qwen3.6 27B" style="width:100%; max-width:100%; height:auto; margin-bottom:0.6em;"/>
<div style="display:flex; justify-content:center; gap:0.5em;">
<a href="https://huggingface.co/Qwen/Qwen3.6-27B"><strong>Base model: Qwen/Qwen3.6-27B</strong></a>
</div>
</center>
Qwen3.6 27B, self-quantized to MLX by Atomic Chat. Built straight from Qwen's original weights with a per-tensor importance matrix, so this is not a repack of somebody else's files. Runs fully offline.
Highlights
- 27.8B parameters: the weights this repo quantizes.
- Context length: 262,144 tokens (256K), as published by Qwen.
- 64 layers: Dense decoder.
- Modalities: Text, Image.
- Full imatrix ladder: every quant is calibrated with an importance matrix.
- Agentic Coding:: the model now handles frontend workflows and repository-level reasoning with greater fluency and precision.
- Thinking Preservation:: we've introduced a new option to retain reasoning context from historical messages, streamlining iterative development and reducing overhead.
[!NOTE] These MLXs are self-quantized from the original weights, not a repack. The importance matrix keeps low-bit quants closer to the full-precision model.
Model Overview
| Property | Value |
|---|---|
| Base model | Qwen/Qwen3.6-27B |
| Parameters | 27.8B |
| Layers | 64 |
| Context length | 262,144 tokens (256K) |
| Vocabulary | 248,320 |
| Modalities | Text, Image |
| Architecture | Dense decoder, 24 attention heads over 4 KV heads, Qwen3_5ForConditionalGeneration |
| This repo | MLX weights |
Get started
- Atomic Chat: search
AtomicChat/qwen36-27b-MLX-4bitand hit Use this model. - mlx-lm:
mlx_lm.generate --model AtomicChat/qwen36-27b-MLX-4bit --prompt "Hello" --max-tokens 512 - Server:
mlx_lm.server --model AtomicChat/qwen36-27b-MLX-4bit --port 8080
Best practices
| Parameter | Value |
|---|---|
| temperature | 1.0 |
| top_p | 0.95 |
| top_k | 20 |
| min_p | 0.0 |
| repetition_penalty | 1.0 |
Qwen's recommended sampling configuration for Qwen/Qwen3.6-27B.
How these were made
- Download
Qwen/Qwen3.6-27B(original weights). - Convert and quantize with
mlx_lm.converton our pipeline.
License
Original model by Qwen, released under the Apache 2.0 license. Full terms: Apache 2.0. Quantized by Atomic Chat.
- Task
- Text Generation
- Library
- mlx
- Type
- qwen3_5
- License
- apache-2.0
- Created
- Jul 15, 2026
- Updated
- Jul 22, 2026