qwen3-asr-1.7b-GGUF

Model overview

Qwen3-ASR-1.7B is a multilingual speech recognition model supporting 30 languages + 22 Chinese dialects, with support for speech, singing voice, and songs with background music. Audio inputs up to 5 minutes. `qwen3-asr-1.7b-q4_k.gguf` was re-baked with the 24-layer **audio encoder kept at Q8_0** (previously Q4_K like the LLM body; ~0.15 GB larger). The earlier Q4_K export could emit an **empty transcript** (or, on longer audio, a repeated phrase) while still reporting success (CrispASR #240) — the same sub-8-bit encoder drift diagnosed in #218. Encoder-output cosine vs the F16 reference (jfk): **0.9632 → 0.9989** min, **0.9913 → 0.9998** mean — i.e. the tower is back to near-lossless and decode no longer degenerates. The Q8_0 and F16 files were never affected. On JFK speech sample (11s, English): - Q4_K: 0.2x realtime on CPU (4 threads) - Perfect transcription accuracy

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。