Qwen3.6 35B A3B, self-quantized to GGUF 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
- 36.0B parameters: the weights this repo quantizes.
- Context length: 262,144 tokens (256K), as published by Qwen.
- 40 layers: Mixture-of-Experts.
- 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 GGUFs are self-quantized from the original weights, not a repack. The importance matrix keeps low-bit quants closer to the full-precision model.
[!IMPORTANT]
Always pass --jinja so the Qwen3.6 35B A3B chat template is applied. Without it the model can emit malformed turns.
Model Overview
[!NOTE]
Qwen3.6 35B A3B is multimodal. This repo ships the mmproj-BF16.gguf vision projector. With -hf it is pulled automatically; otherwise pass --mmproj. Use llama-mtmd-cli or llama-server to feed images.
Get started
Run Qwen3.6 35B A3B locally with:
- Atomic Chat: the easiest path. Open the app, search
AtomicChat/Qwen3.6-35B-A3B-UDT-MTP-GGUF, pick a quant, hit Use this model.
- llama.cpp:
llama-server -hf AtomicChat/Qwen3.6-35B-A3B-UDT-MTP-GGUF:None --jinja -c 8192
- Ollama:
ollama run hf.co/AtomicChat/Qwen3.6-35B-A3B-UDT-MTP-GGUF:None
- LM Studio / Jan: search the repo id, download any quant.
Best practices
Qwen's recommended sampling configuration for Qwen/Qwen3.6-35B-A3B. Pass images through llama-mtmd-cli or llama-server with the projector.
Run in llama.cpp
How these were made
- Download
Qwen/Qwen3.6-35B-A3B (original weights).
- Convert to f16 GGUF with llama.cpp.
- Build an importance matrix over our calibration corpus.
- Quantize the ladder with
--imatrix.
License
Original model by Qwen, released under the Apache 2.0 license. Full terms: Apache 2.0. Quantized by Atomic Chat.