Use it as a coding assistant for Rust projects: generating focused patches, explaining diffs, tightening tests, reading command output, and making small repo-aware edits. It is tuned for tool-calling workflows where the assistant has to inspect files, run commands, and keep changes narrow.

This is the native-MTP BF16 full-precision variant. This native-MTP package includes the model's MTP weights for runtimes that support the Qwen3.6 dense MTP layout, such as oMLX. If a loader rejects MTP weights, use the matching plain repo instead.

Which Variant Should I Use?

Use this repo if your runtime supports native MTP for dense Qwen3.6 MLX models and you want the native-MTP BF16 full-precision package.
Use jedisct1/Qwen3.6-27B-rust-v1-MTP-4bit.mlx for the native-MTP 4-bit OptIQ sibling.
Use jedisct1/Qwen3.6-27B-rust-v1-MTP-8bit.mlx for the native-MTP 8-bit sibling.
Use jedisct1/Qwen3.6-27B-rust-v1-bf16.mlx if your runtime does not support native MTP weights.

Usage

Requires mlx-lm:

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("jedisct1/Qwen3.6-27B-rust-v1-MTP-bf16.mlx")

messages = [
    {"role": "system", "content": "You are an expert Rust developer."},
    {"role": "user", "content": "Generate a focused patch that replaces unwrap() calls in parse_config() with proper error propagation."},
]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
response = generate(model, tokenizer, prompt=prompt, max_tokens=500)
print(response)

What It Is Good At

Writing idiomatic Rust patches from a concise change request.
Explaining Rust diffs in commit-message style.
Following tool-calling workflows where it needs to inspect files before editing.
Keeping changes focused instead of turning small fixes into broad rewrites.
Working with tests, compiler errors, command output, and repository context.

Limitations

Outputs should be reviewed before use, especially unsafe code, concurrency code, and changes that affect security boundaries.
The model works best on focused Rust changes, tests, and explanations. Very large refactors may need to be split into smaller steps.
Tool calling depends on the runtime and client preserving the chat template and tool schema format.