{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Model: google/tipsv2-so400m14","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/3edc6967-43df-46ff-836c-2270bf62ac7f","json_url":"https://onlylabs.fyi/signals/3edc6967-43df-46ff-836c-2270bf62ac7f/signal.json","generated_at":"2026-06-11T02:40:59.203209+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/3edc6967-43df-46ff-836c-2270bf62ac7f","signal_json":"https://onlylabs.fyi/signals/3edc6967-43df-46ff-836c-2270bf62ac7f/signal.json","source":"https://huggingface.co/google/tipsv2-so400m14","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/tipsv2-so400m14. 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This is the SO400m variant with 412M vision params and 448M text params. Try the code snippets below or check out the [GitHub repo](https://github.com/google-deepmind/tips) for more use cases and visualizations, including zero-shot segmentation. | Variant | Vision params | Text params | Embed dim | DPT Heads | |---------|--------------|-------------|-----------|-----------| | [B/14](https://huggingface.co/google/tipsv2-b14) | 86M | 110M | 768 | [B/14-dpt](https://huggingface.co/google/tipsv2-b14-dpt) | | [L/14](https://huggingface.co/google/tipsv2-l14) | 303M | 184M | 1024 | [L/14-dpt](https://huggingface.co/google/tipsv2-l14-dpt) | | [SO400m/14](https://huggingface.co/google/tipsv2-so400m14) | 412M | 448M | 1152 | [SO400m/14-dpt](https://huggingface.co/google/tipsv2-so400m14-dpt) | |..."},"evidence_pages":[{"url":"https://huggingface.co/google/tipsv2-so400m14/raw/main/README.md","final_url":"https://huggingface.co/google/tipsv2-so400m14/raw/main/README.md","title":"google/tipsv2-so400m14 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:40:59.203209+00:00","bytes":4353,"raw_path":"d1bd5d371c99ac95762a5a86747ef33e98aad9dfc101ebff47210d5820e39a1f.md","content_hash":"f907e25859c6064400019711dc9773ed85de4fd55a61fd89d893c82e5953970f","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 tags: - vision - image-text - contrastive-learning - zero-shot - feature-extraction library_name: transformers pipeline_tag: zero-shot-image-classification --- TIPSv2 — SO400m/14 TIPSv2 (Text-Image Pre-training with Spatial awareness) is a family of contrastive vision-language models that produce spatially rich image features aligned with text embeddings. This is the SO400m variant with 412M vision params and 448M text params. Try the code snippets below or check out the [GitHub repo](https://github.com/google-deepmind/tips) for more use cases and visualizations, including zero-shot segmentation. | Variant | Vision params | Text params | Embed dim | DPT Heads | |---------|--------------|-------------|-----------|-----------| | [B/14](https://huggingface.co/google/tipsv2-b14) | 86M | 110M | 768 | [B/14-dpt](https://huggingface.co/google/tipsv2-b14-dpt) | | [L/14](https://huggingface.co/google/tipsv2-l14) | 303M | 184M | 1024 | [L/14-dpt](https://huggingface.co/google/tipsv2-l14-dpt) | | [SO400m/14](https://huggingface.co/google/tipsv2-so400m14) | 412M | 448M | 1152 | [SO400m/14-dpt](https://huggingface.co/google/tipsv2-so400m14-dpt) | |..."}],"related_signals":[{"id":"dc3f7316-5b55-4076-b61a-9a8ffd7a39de","url":"https://onlylabs.fyi/signals/dc3f7316-5b55-4076-b61a-9a8ffd7a39de","source_url":"https://huggingface.co/google/diffusiongemma-26B-A4B-it","title":"google/diffusiongemma-26B-A4B-it","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-06-09T12:40:12+00:00","first_seen_at":"2026-06-11T07:01:08.251078+00:00","date_source":"source"},{"id":"f58bdfb9-0e0c-4b1a-bb6d-8a3624fac327","url":"https://onlylabs.fyi/signals/f58bdfb9-0e0c-4b1a-bb6d-8a3624fac327","source_url":"https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-unquantized-assistant","title":"google/gemma-4-12B-it-qat-q4_0-unquantized-assistant","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-06-04T22:58:12+00:00","first_seen_at":"2026-06-06T01:49:30.777233+00:00","date_source":"source"},{"id":"84a69417-279f-40e1-8ebc-df721d885b16","url":"https://onlylabs.fyi/signals/84a69417-279f-40e1-8ebc-df721d885b16","source_url":"https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-unquantized","title":"google/gemma-4-12B-it-qat-q4_0-unquantized","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-06-04T05:20:28+00:00","first_seen_at":"2026-06-06T01:49:30.777233+00:00","date_source":"source"},{"id":"744d962a-8846-4465-8fd9-b9c10989c769","url":"https://onlylabs.fyi/signals/744d962a-8846-4465-8fd9-b9c10989c769","source_url":"https://huggingface.co/google/CircularNet","title":"google/CircularNet","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-06-02T16:49:49+00:00","first_seen_at":"2026-06-06T01:49:30.777233+00:00","date_source":"source"},{"id":"bdf07c85-5eb4-4573-b293-bc19df10e294","url":"https://onlylabs.fyi/signals/bdf07c85-5eb4-4573-b293-bc19df10e294","source_url":"https://huggingface.co/google/gemma-4-31B-it-qat-q4_0-unquantized-assistant","title":"google/gemma-4-31B-it-qat-q4_0-unquantized-assistant","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-05-29T19:19:43+00:00","first_seen_at":"2026-06-06T01:49:30.777233+00:00","date_source":"source"},{"id":"bc524648-11ff-4365-8b3e-a7793a0d2d4d","url":"https://onlylabs.fyi/signals/bc524648-11ff-4365-8b3e-a7793a0d2d4d","source_url":"https://huggingface.co/google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant","title":"google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-05-29T19:19:16+00:00","first_seen_at":"2026-06-06T01:49:30.777233+00:00","date_source":"source"}]}