Cohere command r Try now on Cohere. The latest model versions are designated with timestamps, as follows: The updated Command R is command-r-08-2024 on the API. GPT-4 is typically the default choice for models as judges. We chose to designate these models with time stamps, so in the API Command R 08-2024 is accesible with command-r-08-2024. Command R, on the other hand, is great for simpler retrieval augmented generation (RAG) and single-step tool use tasks, as well as applications where price is a major consideration. Command A supports safety modes in exactly the same way as Command R7B, see the sections below for details. Cohere’s LLMs. Oct 31, 2024 · The safety of our Command R and Command R+ models has been evaluated on the BOLD (Biases in Open-ended Language Generation) dataset (Dhamala et al, 2021), which contains nearly 24,000 prompts testing for biases based on profession, gender, race, religion, and political ideology. Command R fine-tuning offers superior performance on enterprise use cases and costs up to 15x less than the largest models on the market. command-r-16k (Command R) and cohere. Apr 9, 2024 · 日本語対応の高性能言語モデル「Command R＋」が登場 AI開発企業のCohereが、日本語対応の高性能言語モデル「Command R＋」を発表しました。Command R＋は、GPT-4と同等の性能を備えた大規模言語モデルで、日本語での応答やローカル実行、ウェブ上でのチャットデモなど、さまざまな形で利用できる点 May 29, 2025 · The cohere. We consider Command R as one of the models in the PoLL. Note: command-r7b-12-2024 and newer models only support "CONTEXTUAL" and "STRICT" modes. May 14, 2025 · cohere. We read every piece of feedback, and take your input very seriously. To get the model ID, see Supported foundation models in Amazon Bedrock. Together, they are the text-generation Apr 29, 2024 · You can now access Cohere’s newest state-of-the-art enterprise foundation model family, Command R+ and Command R, in Amazon Bedrock. On the other hand, Command R+ is designed for power users who require advanced language understanding, higher capacity, and more nuanced responses. See the FAQ for pricing details for previous versions of Command R 03-2024 and Command R+ 04-2024. Command R7B was released in late 2024, and it is the smallest, fastest, and final model in our R family of enterprise-focused large language models (LLMs). You are charged based on the sum of tokens processed. In this section, you will learn how to set up and use Python API to generate the response. Jun 20, 2024 · < Back to blog Cohere’s Command R Model Series Is Now Available on OCI Cohere Team. Apr 4, 2024 · < Back to blog Introducing Command R+: A Scalable LLM Built for Business Aidan Gomez. See how Command can support your specific use cases and workflows. command-r-08-2024 model is optimized for complex tasks, offers advanced language understanding, higher capacity and more nuanced responses than cohere. As a model built for companies to implement at scale, Command R boasts: Strong accuracy on RAG and Tool Use; Low latency, and high throughput; Longer 128k context; Strong capabilities across 10 key Command R August 2024 Release. Apr 28, 2024 · Cohere's Command R and R+, state-of-the-art large language models (LLMs) designed to tackle enterprise-grade workloads, are available in Amazon Bedrock. 1. There are several important Aug 31, 2024 · Command Rシリーズは、引用によるRAG(Retrieval-augmented generation)、10以上の言語での多言語対応によるグローバルなビジネスオペレーションのサポート、複雑なワークフローを自動化するツールの使用に優れているモデルです。 Command R+ is Cohere’s most powerful, scalable large language model (LLM) purpose-built to excel at real-world enterprise use cases. With the release, both models include the following feature improvements: Cohere’s flagship text-generation models, Command R and Command R+, received a substantial update in August 2024. Command R7B is available today on the Cohere Platform as well as accessible on HuggingFace, or you can access it in the SDK with command-r7b Available on Command R. Cohere's research lab that seeks to solve command-a-03-2025: Command A is our most performant model to date, excelling at tool use, agents, retrieval augmented generation (RAG), and multilingual use cases. This model is also ideal for question-answering, sentiment analysis, and information retrieval. We’re proud to announce Cohere’s newly-launched RAG-optimized Command R model, designed for businesses to get into large-scale production, is coming to the recently launched NVIDIA API catalog. Feb 27, 2025. Understand how Command works with Embed and Rerank to surface verifiable insights grounded in your enterprise data. 5 as a member Jun 11, 2024 · Today we’re announcing updates to our flagship generative AI model series: Command R and Command R+. Install the Cohere Python package using pip. Apr 4, 2024 · Update : The latest version of Command R and Command R+ released by Cohere on 09/27 is now available on Azure AI Studio and on GH (Command R, Command R+)]. Migrating a monolithic task such as question-answering or query-focused summarization to RAG can improve the quality of responses due to reduced hallucination and improved conciseness through grounding. Command R is a generative model optimized for long context tasks such as retrieval-augmented generation (RAG) and using external APIs and tools. Cohere’s flagship text-generation models, Command R and Command R+, received a substantial update in August 2024. In this chapter, you'll learn about the different techniques for constructing prompts for the Command model. The Command R family of models (R and R+) supports 128k context length, so you can pass long documents to be summarized. Mar 18, 2024. Cohere's fine-tuned models were easy to test, going live in less than an hour. These generative AI models are highly scalable, optimized for long context tasks like advanced retrieval-augmented generation (RAG) with citations to mitigate hallucinations, multi-step tool use to automate complex business tasks, and are multilingual in 10 Mar 18, 2024 · < Back to blog Cohere’s Command R Enterprise Model Coming to ai. Cohere Command-R is a 35B parameter multilingual large language model designed for long context tasks like retrieval-augmented generation (RAG) and calling external APIs and tools. You make inference requests to Cohere Command R and Cohere Command R+ models with InvokeModel or InvokeModelWithResponseStream (streaming). To find the Command R and R+ models, search for “Command R” in the search box located at the top left of the SageMaker JumpStart landing Dec 13, 2024 · Command R7B is the smallest and most efficient model in Cohere's R series of large language models. Command R+ has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. Command-R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. Command R August 2024 Release. pip install cohere. 🚨 This model is non-quantized version of Cohere Labs Command R+. Learn about Cohere's Command R+ model, a large language model optimized for conversational interaction and long-context tasks. Getting Started With the Cohere Python API. Command R+ is an enhanced version of the Command R model built by further training the model. I have been using Cohere Command R for about 3 days, previously I was using Mancer mythomax for 1 years Can you guys provide… Create AI-powered applications with Cohere Command R+. We use GPT-3. Command R7B is the smallest and fastest model in our R family of enterprise-focused large language models (LLMs). Cohere Command R is now available on the Oracle Cloud Infrastructure Generative AI service. command-r-16k (Command R)とcohere. It has a deeper understanding of language, and can generate more nuanced and contextually appropriate responses. Command R+とCommand Rの違いをわかりやすく表形式で整理したものです。 Command R+とCommand Rは、多言語対応、128Kトークンの文脈長、ツール利用、RAGなど主要な機能が共通しており、大きな違いはありません。 Cohere Command Rは、Cohereを代表する大規模言語モデルです。 法人利用での利用を想定して開発されており、日本語ふくむ主要10言語に対応しています。 外部データベースを参照して回答精度を高める「RAG」に特化しているため、より正確な情報を得やすいのが Command R+は、AIスタートアップのCohereが開発した大規模言語モデル（LLM）です。エンタープライズ・アプリケーション向けに設計され、高度な検索拡張生成（RAG）とツールの使用に特化しているのが特徴です。今回は概要や特徴、使い方、料金体系まで詳しく解説していきます。 Mar 14, 2024 · Command-R は、コンテキストの長さが長くなり、Cohere のホスト型 API の価格が引き下げられ、Cohere のプライベート・クラウド導入の効率が大幅に改善されました。 Jul 3, 2024 · Using Cohere Command R plus in Jan application. The model is specifically trained for grounded generation and supports both single-step and multi-step tool use. May 09, 2024. Apr 04, 2024. 11 votes, 13 comments. command-r-plus (Command R+) chat models both belong to the Cohere Command R family of LLMs, but they differ in their capabilities, use cases, and pricing. Redirecting to /CohereLabs/c4ai-command-r-08-2024 Mar 14, 2024 · < Back to blog Introducing Tool Use With Command R: Seamlessly Automate Business Workflows Cohere Team. Together, they are the text-generation LLMs powering tool-using agents, retrieval augmented generation (RAG), translation, copywriting, and similar use cases. Dec 2, 2024 · Specifically, Command R7B is excellent for retrieval-augmented generation, tool use, and agentic applications where complex reasoning, multiple actions, and information-seeking are important for success. 明確な目標と評価指標の設定：aiモデルの開発を始める前に、まず明確な目標を設定し、成功を測定するための評価指標を決定することが重要です。 The Command family of models includes Command A, Command R7B, Command R+, Command R, and Command. Command R+ balances high efficiency with strong accuracy, enabling businesses to move beyond proof-of-concept, and into production with AI: Jun 18, 2024 · OCI Generative AI now supports the pretrained Cohere Command R + model. These models demonstrate improved performance on a variety of tasks. It can perform text generation, retrieval augmented generation, and multi-step tool use in multiple languages. Cohere allows developers and enterprises to build LLM-powered applications. Tool Use enables language models to interact with user-defined tools to automate highly sophisticated tasks. Mar 14, 2024. 2. Amazon Sagemaker. We chose to designate these models with time stamps, so in the API Command R+ 08-2024 is accesible with command-r-plus-08-2024 . Point of Contact: Cohere Labs Apr 29, 2024 · The Cohere Command R and R+ models are available in the Cohere hub. nvidia. Point of Contact: Cohere Labs; License: CC-BY-NC, requires also adhering to Cohere Lab's Acceptable Use Policy; Model: c4ai-command-r-plus; Model Size: 104 billion parameters; Context length: 128K; Try Cohere Labs Command R+ The easiest way to build and scale generative AI applications with foundation models. If you don’t see these models, ensure you have the latest SageMaker Studio version by shutting down and restarting Studio Classic Apps. Our state-of-the-art lightweight multilingual AI model has been optimized for advanced Arabic language capabilities to support enterprises in the MENA region. command-r-plus-08-2024 model is optimized for complex tasks, offers advanced language understanding, higher capacity and more nuanced responses than cohere. Command A has a context length of 256K, only requires two GPUs to run, and has 150% higher throughput compared to Command R+ 08-2024. Mar 14, 2024 · cohere/command-r 上下文长度: 128,000 text->text Cohere 2024-03-14 更新 Command-R is a 35B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. Platform Availability. May 29, 2025 · The cohere. Text: 256k: 8k: Chat Aug 30, 2024 · < Back to blog Updates to the Command R Series Aidan Gomez. command-r-plus, and can maintain context from its long conversation history of 128,000 tokens. Redirecting to /CohereLabs/c4ai-command-r-plus-08-2024 May 9, 2024 · Introducing Command R Fine-Tuning: Industry-Leading Performance at a Fraction of the Cost Niyati Parameswaran, Sudip Roy. It excels in multilingual, math, code, reasoning, tool use, and agentic tasks, and can run on low-end GPUs and CPUs. Talk to our team to explore how Command can fit your stack, your data, and your roadmap. command-r, and can maintain context from its long conversation history of 128,000 tokens. Update for Command A. Generate a new Cohere API key. Basic summarization. 5 and GPT-4 (OpenAI et al. We charge differently for input and output tokens. Embeddings. Key differences include: Apr 9, 2024 · The landscape of artificial intelligence is constantly evolving, and the race for the most powerful and efficient models is heating up. Our smaller companion model is Cohere Labs Command R. Cohere, a leading AI company, has just thrown its hat into the ring with the unveiling of Command R+, a revolutionary Enterprise LLM designed specifically for real-world business applications. Command-R is a powerful LLM optimized for long context tasks such as retrieval augmented generation (RAG). Apr 17, 2025 · Command R+とCommand Rの違い. It supports a context length of 128K tokens. Explore the best deployment options for your infrastructure and security needs Command-R is a large language model with open weights optimized for a variety of use cases including reasoning, summarization, and question answering. You need the model ID for the model that you want to use. We expose two routes for Embed v4 and Embed v3 inference: Cohere's Command R Plus deserves more love! This model is at the GPT-4 league, and the fact that we can download and run it on our own servers gives me hope about the future of Open-Source/Weight models. " Feb 27, 2025 · < Back to blog Introducing Command R7B Arabic Cohere Team. , 2024) are two of the most widely used models. Finally, we released refreshed versions of Command R and Command R+ in August 2024, both of which are now available on Azure. Cohere. Note: This parameter is only compatible newer Cohere models, starting with Command R 08-2024 and Command R+ 08-2024. Temporary Redirect. Command R is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. Model Card for Cohere Labs Command R+ . Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads, and is available first on Microsoft Azure. With the release, both models include the following feature improvements: Mar 11, 2024 · Command R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprise. In this chapter, we will cover several strategies and tactics to get the most effective responses from the Command family of models. Command R+ is most suitable for those workflows that lean on complex RAG functionality and multi-step tool use (agents). You can find the quantized version of Cohere Labs Command CommandRFamily: Command R (CMD-R, 35B) and Command R+ (CMD-R+, 103B) are open weight models created by Cohere5. The latest versions of the Command R model series offer improvements across coding, math, reasoning, and latency. Check these Microsoft docs for more information (select the Cohere Command R 08-2024 or Cohere Command R+ 08-2024 tabs). Aug 30, 2024. With Cohere, you can do text summarization via the Chat endpoint. It is built for enterprises that plan to leverage their internal data and documents for a tailored and accurate language model. com Cohere Team. Today, we’re pleased to announce a new collaboration between Cohere and Microsoft to integrate Cohere’s latest LLM - Command R+ into the Azure AI model catalog as part of the Models as a Service (MaaS) offering. Text summarization distills essential information and generates concise snippets from dense documents. Jun 20, 2024. command-r-plus (Command R+)の両方のチャット・モデルは、LLMのCohere Command R ファミリに属していますが、機能、ユースケースおよび価格設定が異なります。主要な相違点を次に示します: The most effective prompts are those that are clear, concise, specific, and include examples of exactly what a response should look like. May 14, 2025 · The cohere. Command R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This offer enables access to Command R inference API in Azure AI Studio and Azure Machine Learning. With a context window of 128K and a compact architecture, Command R7B offers state-of-the-art performance across a variety of real-world tasks, and it is especially good at high throughput, latency-sensitive applications like chatbots and code assistants. This offer enables access to Command R+ inference API in Azure AI Studio and Azure Machine Apr 15, 2024 · aiモデルの開発効率を上げるためのいくつかの方法があります。以下にいくつかの提案を示します。 1. GPT Family: GPT-3. Update for Command R7B. The pricing above is applicable to the most recent versions of the Command R series of models, Command R7B, Command R 08-2024, Command R+ 08-2024. Developed by: Cohere and Cohere Labs. Apr 27, 2024 · Cohere社が今月（2024年4月）発表した「Command R+モデル」は、企業レベルのAI技術を一新する可能性を秘めています。この最新モデルは、先進的な機能と極めて高い処理能力を備え、企業の日常業務に革命をもたらすことを目指しています。特に、多言語対応や高度なRAG（Retrieval-Augmented Generation Create AI-powered applications with Cohere Command R. command-r-16k (Command R) model is an excellent choice for those looking for a more affordable and flexible option for general language tasks. The Command family of models includes Command A, Command R7B, Command R+, and Command R. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents. We do that by creating world-class models, along with the supporting platform required to deploy them securely and privately. qvzwjtv wruegy xvki pdkgmu hwnf aroxndav bxf dfyncz lemrew swgveo