Youssofal / Qwen3.8-Flash-Next-MTPLX-Optimized-Quality

huggingface.co
Total runs: 1.9K
24-hour runs: 38
7-day runs: 241
30-day runs: 1.0K
Model's Last Updated: September 27 2026
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Introduction of Qwen3.8-Flash-Next-MTPLX-Optimized-Quality

Model Details of Qwen3.8-Flash-Next-MTPLX-Optimized-Quality

MTPLX : the fastest way to run Qwen 3.8 on a Mac. Native multi-token-prediction speculative decoding on Apple Silicon, two to three times the speed of plain decoding, exact at any temperature.

Qwen 3.8 Flash-Next Optimized Quality

8-bit body and MTP head, BF16 structural tensors, and a 4-bit n-gram table. Higher-fidelity Flash-Next build.

Qwen's 125B-A6B Flash-Next preview, the Qwen4-generation architecture with GDN hybrid MoE, Qwen Sparse Attention and the 51B-parameter n-gram memory, at 8 bits: the highest-fidelity way to run it on a Mac, with its native multi-token-prediction head drafting through MTPLX 's speculative path. It is built for Mac Studio with 256 GB or 512 GB. On a 128 GB Mac, pick Optimized Speed , the recommended build.

The 32 GB n-gram table streams from SSD, so only the weights stay in memory: about 128.5 GiB, which leaves about 59.5 GiB for context and the session cache on a 256 GB Mac.

How it is built
  • The experts, attention and the multi-token-prediction head at 8 bits with 64-weight groups, twice the precision of Optimized Speed.
  • The structural weights stay in BF16.
  • The n-gram table at 4 bits, as a separate sidecar that MTPLX streams from SSD. The vision tower is preserved in the weights.
Download 170 GB (includes the 32 GB n-gram table)
Weights in memory (n-gram on SSD) about 128.5 GiB
Recommended Macs 256 GB and 512 GB (on 128 GB, use Optimized Speed)
Context window 262,144 tokens
MTP depth adaptive, ceiling 3
Sampling temperature 1.0, top-p 0.95, top-k 20 (the official Qwen 3.8 contract)

Speed on 256 GB and 512 GB Macs has not been measured yet. The 8-bit weights move twice the bytes per token of Optimized Speed, so it decodes slower.

The serving contract ships inside mtplx_runtime.json . MTPLX reads it on load. Drafts are accepted with the probability-ratio rule plus residual resampling, so the output follows the model's own distribution at any temperature.

Use it

Mac app (MTPLX 2.12.0 or later): download at mtplx.com , pick "Qwen 3.8 Flash-Next Optimized Quality". On Macs with 256 GB or more it is listed second, after Optimized Speed.

Command line (MTPLX 2.12.0 or later):

pip install mtplx
mtplx serve --model Youssofal/Qwen3.8-Flash-Next-MTPLX-Optimized-Quality --model-id mtplx-flash-next-optimized-quality

Siblings: Optimized Speed (the recommended build) and Bare Speed (flat 4-bit, the quickest build).

Base model: Qwen/Qwen3.8-Flash-Next (Qwen Community License; the upstream model card is preserved in this repo as README-upstream-qwen.md ).

Runs of Youssofal Qwen3.8-Flash-Next-MTPLX-Optimized-Quality on huggingface.co

1.9K
Total runs
38
24-hour runs
72
3-day runs
241
7-day runs
1.0K
30-day runs

More Information About Qwen3.8-Flash-Next-MTPLX-Optimized-Quality huggingface.co Model

More Qwen3.8-Flash-Next-MTPLX-Optimized-Quality license Visit here:

https://choosealicense.com/licenses/qwen-community-1.0

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Qwen3.8-Flash-Next-MTPLX-Optimized-Quality install

Qwen3.8-Flash-Next-MTPLX-Optimized-Quality is an open source model from GitHub that offers a free installation service, and any user can find Qwen3.8-Flash-Next-MTPLX-Optimized-Quality on GitHub to install. At the same time, huggingface.co provides the effect of Qwen3.8-Flash-Next-MTPLX-Optimized-Quality install, users can directly use Qwen3.8-Flash-Next-MTPLX-Optimized-Quality installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qwen3.8-Flash-Next-MTPLX-Optimized-Quality install url in huggingface.co:

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