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Retrieval · Agents

C4AI Command-R

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C4AI Command-R
Paper summary

Cohere for AI releases Command-R, a 35B open-weight LLM tuned specifically for retrieval-augmented generation, tool use, and multilingual workflows.

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Key points
01

Long context + multilingual: Supports a 128K-token context window with primary coverage of 10 languages (including Arabic, Japanese, Korean, and Chinese) and partial coverage of 13 more.

02

RAG-native: Trained for grounded generation with explicit citations, making it easier to deploy in production RAG systems without heavy prompt engineering.

03

Tool use and agents: Ships with single-step ("function calling") and multi-step ("agents") tool-use modes, directly supporting sequential API calls and long-running workflows.

04

Research release: Weights are available under CC-BY-NC, with full-precision and 4-bit / 8-bit quantized versions on Hugging Face, explicitly aimed at research use and reproducible benchmarking.

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