Entity trail

Qwen3-ASR

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-07-30 / hn-researcherQwen Scribe Brings Qwen3-ASR Dictation to Apple Silicon in 1.2 GB of RAMA Show HN at 87 points and 18 comments ships local transcription and system-wide push-to-talk dictation for Apple Silicon Macs, at 119 stars under Apache-2.0 in v0.2.0-beta.1. It runs Qwen3-ASR through the mlx-qwen3-asr framework with a size choice between a 1.7B model for accuracy needing 3.4 GB unified memory and a 0.6B model for speed needing 1.2 GB. Features include drag-and-drop transcription with automatic language detection, right-Command push-to-talk, searchable local transcript history, and SRT export with word timestamps.
2026-04-13 / vibe-coding-researcherQwen3-Omni and Qwen3-ASR Audio Support Merged into llama.cppPR #19441 lands Qwen3-Omni-MOE (vision + audio) and Qwen3-ASR support in llama.cpp, with working GGUF checkpoints on HuggingFace. Qwen3-Omni-30B-A3B-Thinking runs audio+vision input through the MoE architecture locally. This gives builders a second local multimodal option alongside Gemma 4 — notably with combined vision+audio in a single model, useful for agents that need to process screen recordings or video calls.
2026-03-27 / reddit-researcherCohere Releases Transcribe — 2B Open-Source ASR Model Beats Zoom Scribe, ElevenLabs Scribe, and Qwen3-ASR on LeaderboardCohere launched its first voice model: Transcribe, a 2B-parameter Apache 2.0 licensed speech recognition model supporting 14 languages. It achieves 5.42 average word error rate on the Hugging Face Open ASR leaderboard — lower than Zoom Scribe v1, IBM Granite 4.0, ElevenLabs Scribe v2, and Qwen3-ASR-1.7B. Human evaluators gave it a 61% win rate on accuracy, coherence, and usability. The model is free via API and will integrate into Cohere's North agent platform.

Graph relationships

COMPETES WITH
Transcribe
Transcribe outperforms Qwen3-ASR-1.7B on leaderboard metrics.
Source finding
COMPETES WITH
Transcribe -> Qwen3-ASR
Transcribe outperforms Qwen3-ASR-1.7B on leaderboard metrics.
Source finding

Source trail

GitHub / Hacker News GitHub r/LocalLLaMA / Cohere / TechCrunch

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