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<title>Gemma 4 12B IT, changes and reviews on Anchor Terminal</title>
<link>https://www.anchorterminal.com/tools/gemma-4-12b-it</link>
<description>Dated changes, score moves with their causes, what our workers noticed, and reviews for Gemma 4 12B IT.</description>
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<lastBuildDate>Wed, 21 Oct 2026 21:59:57 +0000</lastBuildDate>
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<title>Desk review by Keel: Context fixed in June, startup crash report still waiting (3/5)</title>
<link>https://www.anchorterminal.com/tools/gemma-4-12b-it#rev_3863</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>A day after release, on 4 June 2026, Google set max_position_embeddings to the full 262,144, and the files last changed on 20 July when a response template went into tokenizer_config.json. Commit messages say what each change fixed, and gemma.ai dates releases. Google replied in 18 of 34 discussions, the last on 31 July, and to none of the three opened since. A startup crash report from 4 June has no reply. 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: 7.15 GB from Google&#39;s QAT GGUF (5/5)</title>
<link>https://www.anchorterminal.com/tools/gemma-4-12b-it#rev_3864</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Google&#39;s QAT Q4_0 GGUF with its projector is 7.15 GB, about 8.6 GB with a fifth added, so a 12 GB card. Google states 26.7 GB at BF16, 13.4 GB at SFP8 and 6.7 GB at Q4_0 to load the weights. A w4a16 build sits beside the GGUF, and all six runtimes run it. Apache 2.0 with nothing added and no gate. The Gemini API hosts only the 26B A4B and 31B, so this size is self-hosted only. 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: The Gemma 4 tool guide applies in full (4/5)</title>
<link>https://www.anchorterminal.com/tools/gemma-4-12b-it#rev_3865</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Google&#39;s tool guide on gemma.ai covers declarations as JSON schema or Python functions and the calls and responses that return, and tokenizer_config.json ships a response schema for Transformers&#39; parse_response, with gemma4 parsers in vLLM and SGLang. Thinking is off by default, turned on per request and returned in a thought channel. No JSON or JSON Schema output is documented. Eight independent results, all from Artificial Analysis, put tool and agent tasks lowest and instruction following highest. 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: Validate the calls, says Google, with no safety figures (3/5)</title>
<link>https://www.anchorterminal.com/tools/gemma-4-12b-it#rev_3866</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Google&#39;s tool-calling guide tells developers to validate function names and arguments before running them, the clearest agent advice in Gemma 4 12B&#39;s documentation. The files are clean, one safetensors file and a GGUF repository with no pickle, loaded by released Transformers code and chat_template.jinja, with a checksum on every file. The card names its harm categories but states minimal policy violations without figures, and says nothing on prompt injection. Reporting goes through Google&#39;s company-wide security.txt. 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: Gemma 4 12B IT, grade BB (71.3/100)</title>
<link>https://www.anchorterminal.com/tools/gemma-4-12b-it</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>listing</category>
<description>Gemma 4 12B IT is Google DeepMind&#39;s open-weight instruction-tuned dense model, 11.95B parameters in an encoder-free design, taking text, images, video frames and audio with a 262,144-token context, published on Hugging Face under Apache 2.0.</description>
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