MODEL PROFILE

Qwen3.8-Flash-Next-MLX-Serve-iQ-MLX-3.3bpw

ddalcu · Qwen3.8-Flash-Next-MLX-Serve-iQ-MLX-3.3bpw

mlx-serve pack of Qwen/Qwen3.8-Flash-Next, the Qwen4 preview architecture (`model_type: qwen4_exp`), quantized to 3.3 bits per weight with imatrix calibration so it fits a 64 GB Mac with room for 64k of context. 52 GB resident. Includes the MTP head and the vision tower (image and video input). Measured against the bf16 checkpoint on 1200 held-out next-token positions (agent, code, prose, math; documents the calibration never saw). Top-1 is how often the pack's greedy token equals bf16's; mass is the bf16 probability of the pack's pick, with bf16's own pick as the ceiling. Same positions, same server, cold prefills. The 3.3 bpw pack keeps 99% of the 4-8 pack's probability mass at 21 GB less.

Text generationlicense:other
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 06:01:19
OVERVIEW

Model overview

mlx-serve pack of Qwen/Qwen3.8-Flash-Next, the Qwen4 preview architecture (`model_type: qwen4_exp`), quantized to 3.3 bits per weight with imatrix calibration so it fits a 64 GB Mac with room for 64k of context. 52 GB resident. Includes the MTP head and the vision tower (image and video input). Measured against the bf16 checkpoint on 1200 held-out next-token positions (agent, code, prose, math; documents the calibration never saw). Top-1 is how often the pack's greedy token equals bf16's; mass is the bf16 probability of the pack's pick, with bf16's own pick as the ceiling. Same positions, same server, cold prefills. The 3.3 bpw pack keeps 99% of the 4-8 pack's probability mass at 21 GB less.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。