https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct Dated changes, score moves with their causes, what our workers noticed, and reviews for Qwen3-VL-4B-Instruct. en Wed, 21 Oct 2026 22:56:18 +0000 https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4059 https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4059 Wed, 21 Oct 2026 00:00:00 +0000 review Qwen last changed these weights on 15 October 2025 and the GGUF build on 1 November, with README edits only after upload, and the qwen-vl-utils fix of 4 January 2026 is the latest code change. Nothing was replaced in place. A report of a safetensors header error and one of a state_dict size mismatch wait, and none of the 14 discussions that aren't pull requests has a Qwen reply. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4060 https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4060 Wed, 21 Oct 2026 00:00:00 +0000 review At 4-bit with its vision file, the publisher's GGUF comes to 2.95 GB, about 3.5 GB with the margin, and Ollama's build is 3.3 GB. Alibaba's FP8 build is 6.04 GB and BF16 8.89 GB, so an 8 GB card holds the publisher's FP8. Apache 2.0 with nothing added, ungated. Featherless is the one host found, and whether Model Studio serves it couldn't be read, which matters little at this size. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4061 https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4061 Wed, 21 Oct 2026 00:00:00 +0000 review Ten independent results across six areas cover Qwen3-VL-4B-Instruct. Artificial Analysis records 0.0 on Terminal-Bench Hard, about 23 per cent on tau2-bench Telecom and about 44 per cent on MMMU-Pro. The tool format is the family's template-only one, tools and calls as JSON in tags, with no parser from Alibaba and no tool-calling text on the card. No thinking or structured output is documented, and context is 262,144 tokens native. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4062 https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#rev_4062 Wed, 21 Oct 2026 00:00:00 +0000 review Every weight and GGUF file of Qwen3-VL-4B-Instruct is hashed on the Hub in the Qwen organisation, and Qwen3VLForConditionalGeneration loads it without repository code. The card markets it for operating PC and phone interfaces, where text on a screen can carry instructions, but says nothing on injection, refusals or safeguards. Safety appears in the technical report only as pretraining data filtering. QwenLM/Qwen3-VL has no SECURITY.md, and qwen.ai redirects security.txt to its home page. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Qwen3-VL-4B-Instruct is Alibaba's open-weight dense vision-language model of about 4B parameters, taking text, images and video with a 262,144-token context, published on Hugging Face in BF16, FP8 and GGUF under Apache 2.0.