{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Model: google/gemma-4-12B-it-qat-q4_0-unquantized-assistant","description":"Google (DeepMind / Gemini) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/f58bdfb9-0e0c-4b1a-bb6d-8a3624fac327","json_url":"https://onlylabs.fyi/signals/f58bdfb9-0e0c-4b1a-bb6d-8a3624fac327/signal.json","generated_at":"2026-06-11T01:47:10.144624+00:00","org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/google-deepmind","dossier_json_url":"https://onlylabs.fyi/labs/google-deepmind/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/f58bdfb9-0e0c-4b1a-bb6d-8a3624fac327","signal_json":"https://onlylabs.fyi/signals/f58bdfb9-0e0c-4b1a-bb6d-8a3624fac327/signal.json","source":"https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-unquantized-assistant","lab_dossier":"https://onlylabs.fyi/labs/google-deepmind","lab_dossier_json":"https://onlylabs.fyi/labs/google-deepmind/dossier.json","analysis":"https://onlylabs.fyi/analysis/google-deepmind","analysis_json":"https://onlylabs.fyi/analysis/google-deepmind/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/google-deepmind/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Google (DeepMind / Gemini) published google/gemma-4-12B-it-qat-q4_0-unquantized-assistant. 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charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T01:47:10.144624+00:00","bytes":28480,"raw_path":"affa70efa9f230adbc44a9a8aea2b1e62b11c933f175cec545299ad9434334d7.md","content_hash":"1a3a6e75538cf512b57c1e8f9bf55f0fe7d7a1d588f2017ecbe92168052be107","excerpt_chars":1200,"truncated":true,"excerpt":"--- library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any base_model: - google/gemma-4-12B-it-assistant --- <div align=\"center\"> <img src=https://ai.google.dev/gemma/images/gemma4_banner.png> </div> <p align=\"center\"> <a href=\"https://huggingface.co/collections/google/gemma-4\" target=\"_blank\">Hugging Face</a> | <a href=\"https://github.com/google-gemma\" target=\"_blank\">GitHub</a> | <a href=\"https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12B/\" target=\"_blank\">Launch Blog</a> | <a href=\"https://ai.google.dev/gemma/docs/core\" target=\"_blank\">Documentation</a> <br> <b>License</b>: <a href=\"https://ai.google.dev/gemma/docs/gemma_4_license\" target=\"_blank\">Apache 2.0</a> | <b>Authors</b>: <a href=\"https://deepmind.google/models/gemma/\" target=\"_blank\">Google DeepMind</a> </p> > [!Note] > This model card is for the new versions of the Gemma 4 family optimized with Quantization-Aware Training (QAT), which allows preserving similar quality to bfloat16 while dramatically reducing the memory requirements to load the model. > Four versions of the QAT checkpoints are..."},"evidence_pages":[{"url":"https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-unquantized-assistant/raw/main/README.md","final_url":"https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-unquantized-assistant/raw/main/README.md","title":"google/gemma-4-12B-it-qat-q4_0-unquantized-assistant model card","http_status":200,"content_type":"text/plain; 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