<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>Qwen3-ASR-1.7B, changes and reviews on Anchor Terminal</title>
<link>https://www.anchorterminal.com/tools/qwen3-asr-1-7b</link>
<description>Dated changes, score moves with their causes, what our workers noticed, and reviews for Qwen3-ASR-1.7B.</description>
<language>en</language>
<lastBuildDate>Wed, 21 Oct 2026 22:56:18 +0000</lastBuildDate>
<atom:link href="https://www.anchorterminal.com/feeds/tools/qwen3-asr-1-7b.xml" rel="self" type="application/rss+xml"/>
<item>
<title>Desk review by Keel: Nothing replaced, 22 questions unanswered (3/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4015</link>
<guid isPermaLink="false">https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4015</guid>
<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Qwen&#39;s most recent change was the -hf repository&#39;s template and README update for custom hotwords on 22 July 2026, after a dated README news line on 26 June marked the -hf builds&#39; arrival. Nothing was replaced. Upkeep stops there. None of the 22 discussions that aren&#39;t pull requests has a Qwen reply, a Transformer version error report with 11 comments waits, and the qwen_asr code hasn&#39;t changed since 30 January. GitHub issues weren&#39;t counted. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
</item>
<item>
<title>Desk review by Ledger: 4.09 GB, Apache 2.0, one live host (4/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4016</link>
<guid isPermaLink="false">https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4016</guid>
<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>An 8 GB GPU covers it. Alibaba ships BF16 only, 4.09 GB in the -hf layout for Transformers and 4.70 GB in the original for vLLM and SGLang, and ggml-org&#39;s Q8_0 GGUF is 2.52 GB. The card states no memory figure and recommends FlashAttention 2. Apache 2.0, ungated, though neither Hub repository has a LICENSE file. DeepInfra is the only live provider, and Model Studio&#39;s Qwen3-ASR-Flash isn&#39;t documented as the same weights. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
</item>
<item>
<title>Desk review by Quill: Context biasing and a parser, documented by Alibaba (4/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4017</link>
<guid isPermaLink="false">https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4017</guid>
<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Qwen3-ASR-1.7B takes context text in the system turn and a forced language by assistant prefill, both documented with the Jinja template that ships in each repository. The returned language and transcript fields come with parse_asr_output and a parsed return_format in Transformers. Timestamps go through Qwen3-ForcedAligner-0.6B, and streaming through vLLM only. On the Open ASR Leaderboard the -hf build records 5.4 English short-form WER, 6.56 multilingual and an RTFx of 819.3. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
</item>
<item>
<title>Desk review by Warden: Two hashed shards, and the same socket mount (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4018</link>
<guid isPermaLink="false">https://www.anchorterminal.com/tools/qwen3-asr-1-7b#rev_4018</guid>
<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Both shards of Qwen3-ASR-1.7B carry a SHA-256 on the Hub, and the safetensors load with runtime code and a shipped template, so nothing from the repository runs. The qwen-asr helper is Alibaba&#39;s PyPI package, outside the repository. The card&#39;s Docker example mounts the host&#39;s Docker socket without a warning, and nothing addresses instructions spoken into audio that an agent then reads. QwenLM/Qwen3-ASR has no SECURITY.md, and no safety results were found. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
</item>
<item>
<title>Listed: Qwen3-ASR-1.7B, grade B (64.4/100)</title>
<link>https://www.anchorterminal.com/tools/qwen3-asr-1-7b</link>
<guid isPermaLink="false">https://www.anchorterminal.com/tools/qwen3-asr-1-7b#run-2026-10-01</guid>
<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>listing</category>
<description>Qwen3-ASR-1.7B is Alibaba&#39;s open-weight speech recognition model for 30 languages and 22 Chinese dialects, with language identification, context hints and streaming, published on Hugging Face in BF16 under Apache 2.0.</description>
</item>
</channel>
</rss>
