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EigenLabs/Qwen3.8-27B-MTP-bf16
Qwen3.8-27B-MTP-bf16 is a machine learning model from EigenLabs. 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.
This is the MTP (multi-token-prediction) head of Qwen/Qwen3.8-27B.
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From the Hugging Face model README
This is the MTP (multi-token-prediction) head of Qwen/Qwen3.8-27B.
The official model contains this head as 15 mtp.* tensors.
We copied these 15 tensors from revision 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0.
We removed the mtp. prefix from each tensor name. Example: mtp.fc.weight is now fc.weight.
We did not train the weights. We did not change the weights.
The data type is bfloat16, the same as the official release.
fc.weight).config.json with model_type: qwen3_5_mtp and block_size: 3.model.safetensors.index.json. Loaders read the head as its own model tree, so these two files are necessary.The head predicts draft tokens from the hidden states of its base model. It cannot generate text alone. Use it with the 4-bit reference model: EigenLabs/Qwen3.8-27B-4bit.
The Qwen 3.8 MTP challenge uses this head for speculative decoding.
The track is qwen3.8-27b-mtp-v1.
The challenge repository is Layr-Labs/qwen-3.8-mtp-challenge.
The challenge points to one fixed revision of this repository.