Cohere Labs Command A is a research version of a 111-billion parameter model with open weights, optimized for the demanding enterprise needs that require fast, secure, and high-quality AI.

Natural Language ProcessingTransformersMultiple Languages

A 7B-parameter large language model optimized for Arabic, supporting 128K context length with excellent performance in enterprise-level tasks

Natural Language ProcessingTransformersMultiple Languages

This is the quantized version of the c4ai-command-r7b-12-2024-abliterated model, quantized using llama.cpp, supporting multiple quantization types and suitable for various hardware environments.

Natural Language ProcessingGgufMultiple Languages

Command R7B is an open-weight 7B parameter research version model, optimized for diverse scenarios such as reasoning, summarization, Q&A, and coding, supporting 23 languages.

Natural Language ProcessingTransformersMultiple Languages

A LoRA fine-tuned text-to-image diffusion model specializing in C4C creative design style

Computer VisionDiffusers

This is a GGUF format text generation model converted from the CoForAI/c4ai-command-r-08-2024 model, supporting multiple languages.

Natural Language ProcessingGgufMultiple Languages

Command R+ 08-2024 is a 104 billion parameter multilingual large language model that supports Retrieval-Augmented Generation (RAG) and tool usage, suitable for automating complex tasks.

Natural Language ProcessingTransformersMultiple Languages

Cohere Lab's Command R 08-2024 is a high-performance 32-billion parameter generative model supporting multilingual generation and Retrieval-Augmented Generation (RAG) capabilities.

Natural Language ProcessingTransformersMultiple Languages

C4AI Command - R is a research version of a high-performance generative model with 35 billion parameters, optimized for various use cases such as inference, summarization, and question-answering.

Natural Language ProcessingGguf

C4AI Command R+ is an open-weight 104 billion parameter research model with advanced capabilities, including Retrieval-Augmented Generation (RAG) and tool usage for automating complex tasks.

Natural Language ProcessingTransformersMultiple Languages

A 35-billion-parameter multilingual large language model fine-tuned based on the CohereForAI/c4ai-command-r-v01 architecture, specializing in long-context processing and fact-based data generation

Natural Language ProcessingTransformersMultiple Languages

C4AI Command R+ is a 104B parameter multilingual large language model supporting Retrieval-Augmented Generation (RAG) and tool calling, optimized for tasks like reasoning, summarization, and Q&A.

Natural Language ProcessingGguf

GGUF weight files compatible with llama.cpp, supporting dialogue templates and importance matrix quantization.

Natural Language ProcessingGguf

Command R+ is a 104B parameter open-weight research-grade model developed by Cohere Lab, supporting multilingual and complex task automation.

Natural Language ProcessingTransformersMultiple Languages

Cohere Labs Command R+ is a multilingual large language model with 104 billion parameters, featuring advanced capabilities such as retrieval-augmented generation (RAG) and tool usage, and supporting a context length of 128K.

Natural Language ProcessingTransformersMultiple Languages

Command R+ is a research version model with open weights and 104 billion parameters launched by Cohere Labs. It has retrieval-augmented generation (RAG) and tool usage capabilities, and supports multilingual and multi-step task automation.

Natural Language ProcessingTransformersMultiple Languages

C4AI Command-R is a high-performance generative model research version with 35 billion parameters, using the GGUF format. It is a large language model with open weights, optimized for various use cases such as inference, summarization, and question-answering, and has multilingual generation capabilities and high-performance RAG capabilities.

Natural Language ProcessingGguf

This model is a 4bit quantized version converted from CohereForAI/c4ai-command-r-v01 to MLX format, supporting multilingual conversations and tool usage.

Natural Language ProcessingTransformersMultiple Languages

Command-R is a high-performance 35 billion parameter generative model research version, optimized for scenarios such as reasoning, summarization, and question answering, supporting generation capabilities in 10 languages with exceptional Retrieval-Augmented Generation (RAG) performance.

Natural Language ProcessingTransformersMultiple Languages

A Japanese language model with 3.6 billion parameters developed by LINE Corporation, based on the GPTNeoX architecture, supporting Japanese text generation tasks. The training data is approximately 650GB, and the perplexity on the Japanese C4 validation set is 7.50.

Natural Language ProcessingTransformersJapanese