Qwen3.6-35B-A3B-oQ3e-MTP-MLX

Qwen3.6-35B-A3B-oQ3e-MTP-MLX

This is the Qwen3.6-35B-A3B model package used by Sprig in Treeish. It combines an oQ3e mixed-precision MLX quant with its embedded Multi-Token Prediction head and the chat template used for Sprig's coding-agent workflow.

The package is ready to download and load as-is. Treeish pins an exact repository commit rather than following main.

Model

• Base model: Qwen/Qwen3.6-35B-A3B
• Architecture: 35B total parameters, approximately 3B active parameters
• Quantisation: oQ3e imatrix-enhanced mixed precision
• Default quantisation: 3-bit affine, group size 64
• Per-tensor overrides: 5, 6 and 8-bit, with group sizes 64 and 128
• Format: MLX safetensors
• MTP: 1 embedded layer under language_model.mtp.*
• Context length: 262,144 tokens

The package contains 2,052 indexed tensors, including 333 vision-tower tensors and 42 embedded MTP tensors. Its 4 weight shards contain 17,204,858,031 bytes of tensor data.

Provenance

The quantised weights, model configuration and oQ calibration report are byte-identical to Jundot/Qwen3.6-35B-A3B-oQ3e-mtp at commit 9d5312516fc7fa473a28b9c7598d1c28a0f420a1. The source declares oMLX 0.4.5.dev1 as the converter and Qwen/Qwen3.6-35B-A3B as the base model. Its imatrix report records 128 samples of 512 tokens from oqe_code_multilingual, with 470 of 510 entries applied. It does not identify the exact base-model commit used for conversion, so this is a curated, byte-pinned distribution rather than a byte-reproducible conversion recipe.

The chat template is Froggeric's v21.3 template. It is byte-identical to archive/v21_chat_template.jinja in froggeric/Qwen-Fixed-Chat-Templates at commit 9f14778c92c3b5ed3e0738085694c0d3452802dd.

No model, tokenizer or configuration tensors were changed for this release. The release replaces the chat template and adds the licence, provenance and file manifest.

Runtime compatibility

This package is built for Treeish's pinned MLX Swift runtime. A different runtime must support the per-tensor quantisation overrides in config.json and the embedded Qwen MTP layout.

Treeish uses this model from 32 GB of unified memory and recommends 48 GB. Headroom depends on context length, cache settings and other running applications.

Treeish validation

Treeish's release benchmark has not yet been run on this package. RELEASE_MANIFEST.json records the release status and is updated when it has.

Limitations

Quantisation trades some model quality for memory use and local generation speed. Applications should validate the model against their own prompts, tool format and runtime.

The model package contains no custom executable code. File sizes, SHA-256 digests and source revisions are recorded in RELEASE_MANIFEST.json.

Licence

Qwen3.6-35B-A3B is licensed under Apache 2.0. The full licence text is included in LICENSE. The Froggeric template repository also declares Apache 2.0 and is attributed above.