Model overview
GGUF conversions of nvidia/canary-qwen-2.5b for use with transcribe.cpp. Ported from upstream commit b1469e1, pinned 2026-05-15. Validated against the NeMo SALM 2.7.3 reference at transcribe.cpp commit 6f6c699 on 2026-05-16. Offline English speech-to-text. NeMo SALM (Speech-Augmented Language Model): a FastConformer audio encoder (32 layers, `d_model=1024`) feeds audio embeddings into a Qwen3-1.7B causal LM (28 layers, `hidden_size=2048`) via audio-token injection at a sentinel position in the prompt. English only. Takes a 16 kHz mono WAV and produces a transcript via greedy decoding.
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
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| Source / channel | Input | Output | Billing unit | Collected 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.
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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Sources & traceability
许可证：cc-by-4.0。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。