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FancieF/Qwythos-27B-v1-MLX-MTP
Qwythos-27B-v1-MLX-MTP is a machine learning model from FancieF. 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.
Standalone Multi-Token Prediction (MTP) head split from empero-ai/Qwythos-27B-v1.
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From the Hugging Face model README
Standalone Multi-Token Prediction (MTP) head split from empero-ai/Qwythos-27B-v1.
Not a full LLM. Load only as
--draft-modelnext to an MLX VLM target.
| Repo | Role |
|---|---|
| VLM 4-bit | Main model (recommended) |
| VLM BF16 | Main model (high RAM) |
| This MTP drafter | Optional decode speed-up |
mlx_vlm.convert drops mtp.*. This repo puts them back as model_type: qwen3_5_mtp (block_size=4, ~829MB).
pip install -U mlx-vlm
mlx_vlm.generate \
--model FancieF/Qwythos-27B-v1-MLX-VLM-4bit \
--draft-model FancieF/Qwythos-27B-v1-MLX-MTP \
--draft-kind mtp \
--draft-block-size 4 \
--prompt "Explain gated linear attention in three sentences." \
--thinking-mode disabled \
--temperature 0.6
With image (prefill on main model; MTP helps the text tail):
mlx_vlm.generate \
--model FancieF/Qwythos-27B-v1-MLX-VLM-4bit \
--draft-model FancieF/Qwythos-27B-v1-MLX-MTP \
--draft-kind mtp \
--draft-block-size 4 \
--image ./photo.jpg \
--prompt "Describe this image." \
--thinking-mode disabled
Server:
mlx_vlm.server \
--model FancieF/Qwythos-27B-v1-MLX-VLM-4bit \
--draft-model FancieF/Qwythos-27B-v1-MLX-MTP \
--draft-kind mtp \
--draft-block-size 4
Do not expect this file to work as LM Studio’s generic Draft Model. For LM Studio MTP, use official GGUF with MTP baked in: empero-ai/Qwythos-27B-v1-GGUF (*MTP*Q4_K_M*) + enable MTP Speculative Decoding.
python -m mlx_vlm.speculative.drafters.qwen3_5_mtp.split \
--model /path/to/Qwythos-27B-v1 \
--output ./Qwythos-27B-MTP \
--block-size 4
Derived from empero-ai/Qwythos-27B-v1 (Apache-2.0). Unofficial MLX drafter for Apple Silicon.
| Main VLM 4-bit | FancieF/Qwythos-27B-v1-MLX-VLM-4bit |
| VLM BF16 | FancieF/Qwythos-27B-v1-MLX-VLM-bf16 |
| Base | empero-ai/Qwythos-27B-v1 |
| ModelScope (ZH) | Fancie/Qwythos-27B-v1-MLX-MTP |