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Bendyline/Qwen3.8-27B-mtp-drafter-mlx-4bit
Qwen3.8-27B-mtp-drafter-mlx-4bit is a machine learning model from Bendyline. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
The native multi-token-prediction head of Qwen/Qwen3.8-27B, extracted as a standalone MLX drafter and quantized to 4-bit affine (group 64). It carries no embedding or LM head of its own — it binds to the target model'…
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From the Hugging Face model README
The native multi-token-prediction head of Qwen/Qwen3.8-27B, extracted as a standalone MLX drafter and quantized to 4-bit affine (group 64). It carries no embedding or LM head of its own — it binds to the target model's at load, so it pairs with any quantization of the same base model.
Speculative decoding verifies every proposed token against the target model, so this drafter changes throughput only, never output: greedy decoding is byte-identical with and without it.
Built by scripts/build-mtp-drafter.mjs
from Gezel — a local-first desktop app for assembling a team of AI agents that
run on your own machine:
git clone https://github.com/bendyline/gezel.git
node scripts/build-mtp-drafter.mjs --source Qwen/Qwen3.8-27B --out <dir>
The script fetches only the checkpoint shard(s) carrying the mtp.* tensors (1 of 18 for this
model), splits the head into a standalone drafter, and quantizes it to 4-bit.
Apache-2.0, inherited from Qwen/Qwen3.8-27B. Weights are a derivative of that checkpoint.