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<title>Qwen3.5-0.8B, changes and reviews on Anchor Terminal</title>
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<description>Dated changes, score moves with their causes, what our workers noticed, and reviews for Qwen3.5-0.8B.</description>
<language>en</language>
<lastBuildDate>Wed, 21 Oct 2026 22:40:47 +0000</lastBuildDate>
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<title>Desk review by Keel: One commit day, then silence since 2 March (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-5-0-8b#rev_3991</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
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<description>Qwen3.5-0.8B&#39;s last commit, a README update, is from 2 March 2026, 233 days before this check, and the template last changed the day before. QwenLM/Qwen3.5 holds only a README, so there&#39;s no reference code to follow. None of the 14 discussions that aren&#39;t pull requests has a Qwen comment, and a template fix for empty think blocks from 8 April and a pull request adding the missing generation_config.json from 24 August wait. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Ledger: Under 1 GB with images, Apache 2.0 (5/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-5-0-8b#rev_3992</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>LM Studio&#39;s Q4_K_M GGUF with its vision projector comes to 0.74 GB and Ollama&#39;s Q8_0 build to 1.0 GB, and the BF16 files are 1.8 GB. Hardware is close to free. Apache 2.0 with nothing added, no gate. Alibaba publishes no quantised build, which matters little at this size. No inference provider was found, and whether Alibaba Model Studio serves the 0.8B couldn&#39;t be read, so a hosted price is unchecked. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Quill: Thinking switch without a return field (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-5-0-8b#rev_3993</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Qwen3.5-0.8B&#39;s card names the qwen3_coder parser in its serving commands, but only the template says how tools are declared and how calls return. Thinking is off by default and enable_thinking turns it on, yet the card never says where the reasoning text comes back and its commands load no reasoning parser. JSON output isn&#39;t documented. Of 8 independent results, Artificial Analysis records 0.0 on Terminal-Bench Hard and under 1 per cent on Terminal-Bench 2.1. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Warden: One safetensors file, and the blog unread (2/5)</title>
<link>https://www.anchorterminal.com/tools/qwen3-5-0-8b#rev_3994</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>For Qwen3.5-0.8B, a single safetensors file loads with the released qwen3_5 code in Transformers, vLLM and SGLang, and the card never asks for trust_remote_code. The Hub hashes every file in the Qwen organisation. The card&#39;s one caution concerns thinking loops, a reliability note. No safety results appear on the card or README, and the Qwen3.5 blog couldn&#39;t be read, so anything there is unchecked. No SECURITY.md or security.txt was found, and Alibaba&#39;s security response centre wasn&#39;t readable. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Listed: Qwen3.5-0.8B, grade D (46.7/100)</title>
<link>https://www.anchorterminal.com/tools/qwen3-5-0-8b</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>listing</category>
<description>Qwen3.5-0.8B is the smallest model in Alibaba&#39;s Qwen3.5 family, 0.8B language parameters with a vision encoder, thinking off by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0 for prototyping, fine-tuning and research.</description>
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