MODEL PROFILE

Qwen3.8-Flash-Next-MLX-4bit

TensorFold · Qwen3.8-Flash-Next-MLX-4bit

A native Apple-silicon conversion of Qwen/Qwen3.8-Flash-Next , quantised directly from the official BF16 checkpoint. This repository contains a 4-bit affine MLX conversion of Qwen3.8 Flash Next. It was produced directly from Qwen's BF16 weights using group size 32. The smaller group is intentional: it also covers the model's 160-wide hashed n-gram embedding tables instead of leaving them in BF16. The upstream tokenizer, chat template, vision processor, and generation configuration are preserved. The optional upstream MTP head is not included in this checkpoint.

Visual QAlicense:other
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/11/2 19:15:47
OVERVIEW

Model overview

A native Apple-silicon conversion of Qwen/Qwen3.8-Flash-Next , quantised directly from the official BF16 checkpoint. This repository contains a 4-bit affine MLX conversion of Qwen3.8 Flash Next. It was produced directly from Qwen's BF16 weights using group size 32. The smaller group is intentional: it also covers the model's 160-wide hashed n-gram embedding tables instead of leaving them in BF16. The upstream tokenizer, chat template, vision processor, and generation configuration are preserved. The optional upstream MTP head is not included in this checkpoint.

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.

Source / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

—

Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

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。

View full indexed rankings →

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?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

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。