{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Repo: google-deepmind/calm","description":"Google (DeepMind / Gemini) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/69dcf852-83dd-48d0-be6c-1cbd3ca9831d","json_url":"https://onlylabs.fyi/signals/69dcf852-83dd-48d0-be6c-1cbd3ca9831d/signal.json","generated_at":"2026-06-11T03:56:50.805391+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/69dcf852-83dd-48d0-be6c-1cbd3ca9831d","signal_json":"https://onlylabs.fyi/signals/69dcf852-83dd-48d0-be6c-1cbd3ca9831d/signal.json","source":"https://github.com/google-deepmind/calm","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":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Google (DeepMind / Gemini) published google-deepmind/calm (Python). 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In this paper, we describe composing two language models by introducing cross-attention between models to compose their representations and enable new capabilities. The code currently supports combining any two models built with the Gemma architecture. Installation Clone the repo ``` git clone https://github.com/google-deepmind/calm.git cd calm ``` Create a virtual environment using virtualenv or conda depending on your preferences and install the requirements. We require Python 3.11 or above: ``` conda create -n calm python=3.11.11 && conda activate calm pip install -r requirements.txt ``` Ensure you have logged in using a 🤗 read access token for using the Gemma models. For more information,..."},"evidence_pages":[{"url":"https://github.com/google-deepmind/calm","final_url":"https://github.com/google-deepmind/calm","title":"google-deepmind/calm repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:56:50.805391+00:00","bytes":13549,"raw_path":"7b43b6d22f456d2f3d42aa0c021be280833368434a07bc81aef87b6c588560ad.json","content_hash":"57eb6a3a8bda7cd97671932ca3144cc41b26326d2e22653d0b840333a0a55269","excerpt_chars":1200,"truncated":true,"excerpt":"google-deepmind/calm Language: Python License: Apache-2.0 Stars: 58 Forks: 10 Open issues: 5 Created: 2024-07-16T05:30:23Z Pushed: 2026-06-11T00:11:30Z Default branch: main Fork: no Archived: no README: CALM: Expanding LLM Capabilities through Composition This repository provides the code for implementing the CALM (Composition to Augment Language Models) framework described in the paper [\"LLMs Augmented LLMs: Expanding Capabilities through Composition\"](https://arxiv.org/abs/2401.02412). 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