Qwen3.8-27B-GGUF

Model overview

Quants of Qwen/Qwen3.8-27B. What this repo adds over the other GGUF builds of the same model is not the files: it is a measured answer to *how far down you can quantize before an agent stops working*, and the honesty about how noisy that measurement is. The two top rungs sit above the 3.40-bpw build that scores 40/40, but they were not put through the benchmark themselves — "not measured" here means exactly that, not "assumed fine". `IQ1_M-compact` is the build that Elffuss Claw loads on WebGPU — one tab, one machine, no install and no sharding across devices — through Elffuss Engine (Apache-2.0), which reads a **standard GGUF over HTTP** by range requests and dequantises inside the shader. It is slow and the first load is several gigabytes; it answers, it does not feel instant. Note the row above: at 1.94 bpw this build is for text, not for driving tools.

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.

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.

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。

Frequently asked questions

Sources & traceability

许可证：apache-2.0。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。