Instructions to use adrianmurray/Qwen3.8-27B-MTP-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use adrianmurray/Qwen3.8-27B-MTP-MLX-6bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("adrianmurray/Qwen3.8-27B-MTP-MLX-6bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use adrianmurray/Qwen3.8-27B-MTP-MLX-6bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "adrianmurray/Qwen3.8-27B-MTP-MLX-6bit" --prompt "Once upon a time"
- Atomic Chat
Qwen3.8-27B native MTP MLX 6-bit
This artifact is the native multi-token prediction head extracted from the
official Qwen/Qwen3.8-27B checkpoint and quantized to affine 6-bit MLX
weights. It is bound to a matching target model and is used as a speculative
draft by Qwen Prime Runtime and DFlash verification.
It is not a separately trained DFlash diffusion model. Speculative verification remains lossless with respect to the configured target decoding policy; speed depends on draft acceptance and workload.
Identity
- Source model:
Qwen/Qwen3.8-27B - Source revision:
1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0 - Target model:
Qwen/Qwen3.8-27B - Quantization: affine 6-bit, group size 64
- MTP layers: one
- Weight SHA-256:
0af49c2c931f9f98c6beb2a85cae899a1c839647aae28b18e9187af53340fab2
qwen-prime-runtime doctor verifies the source/target binding and the complete
weight hash before the artifact is used.
Reproduction
uv run python -m harness.trainer.export_qwen38_mtp \
--source /path/to/Qwen3.8-27B \
--output /path/to/Qwen3.8-27B-MTP-MLX-6bit \
--source-revision 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0
License
The original model is Copyright 2026 Alibaba Cloud and is licensed under Apache License 2.0. This directory includes that license and a modification notice. This independent derivative is not endorsed by Alibaba Cloud or the Qwen team.
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