MODEL PROFILE

Qwen3.8-Flash-Next-GGUF

AtomicChat · Qwen3.8-Flash-Next-GGUF

Built from Qwen's original weights with our own importance matrix. The calibration corpora behind our builds are public. Built by the team behind Atomic Chat , the app that runs open-weight models locally and offline. Qwen3.8-Flash-Next is the first open-weight release of the architecture behind Qwen4. These GGUFs are self-quantized from Qwen's original weights with our own importance matrix, published alongside the quants. They need a llama.cpp build with Qwen3.8-Flash-Next support; Atomic Chat runs it as support ships. Need it without refusals? Qwen3.8-Flash-Next-Uncensored-GGUF has baked builds and a LoRA adapter for the quants here. Qwen3.8-Flash-Next has 177B parameters. Our 85 GB quant runs on an M5 Max with 64 GB of memory, with vision, at 36 tok/s. That is not a typo: the file is larger than the machine's entire RAM.

Text generationmultimodallicense:other
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/28 21:22:32
OVERVIEW

Model overview

Built from Qwen's original weights with our own importance matrix. The calibration corpora behind our builds are public. Built by the team behind Atomic Chat , the app that runs open-weight models locally and offline. Qwen3.8-Flash-Next is the first open-weight release of the architecture behind Qwen4. These GGUFs are self-quantized from Qwen's original weights with our own importance matrix, published alongside the quants. They need a llama.cpp build with Qwen3.8-Flash-Next support; Atomic Chat runs it as support ships. Need it without refusals? Qwen3.8-Flash-Next-Uncensored-GGUF has baked builds and a LoRA adapter for the quants here. Qwen3.8-Flash-Next has 177B parameters. Our 85 GB quant runs on an M5 Max with 64 GB of memory, with vision, at 36 tok/s. That is not a typo: the file is larger than the machine's entire RAM.

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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No verified prices yet. Check the source channel.

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?

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。