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Cohere: Command R (08-2024)Reason Deeper. Retrieve Smarter

Try Cohere: Command R (08-2024)API Documentation

Unlock Command R Power

128K Context

Handle Long Documents

Process 128,000 tokens for complex tasks with full conversation history.

RAG Optimized

Multilingual Retrieval

Enhance Cohere: Command R (08-2024) with customizable citations in 23 languages.

Tool Use

Function Calling Built-in

Execute sequential tools for dynamic reasoning and structured data analysis.

Examples

See what Cohere: Command R (08-2024) can create

Copy any prompt below and try it yourself in the playground.

Tech Summary

“Summarize the key features of Cohere: Command R (08-2024) model, including context length, RAG capabilities, and supported languages. Use bullet points and cite sources.”

Code Fix

“Review this Python function for errors and optimize it for efficiency: def calculate_fib(n): if n <= 1: return n else: return calculate_fib(n-1) + calculate_fib(n-2). Provide corrected code.”

Data Analysis

“Analyze this sales dataset: Q1: 1200, Q2: 1500, Q3: 1100, Q4: 1800. Identify trends, forecast Q5, and suggest improvements in a structured report.”

Reasoning Chain

“Solve: A train leaves at 3 PM traveling 60 mph. Another at 5 PM at 80 mph. When does the second catch up if first has 200 mile head start? Show steps.”

For Developers

A few lines of code.
RAG queries. One call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Cohere: Command R (08-2024)

Read the docs

Cohere: Command R (08-2024) is a 32B parameter LLM optimized for reasoning, RAG, and tool use with 128K context. It improves on prior versions in math, code, and multilingual tasks.

Cohere: Command R (08-2024) API offers 50% higher throughput and lower latency than Command R. Access via ModelsLab for on-demand inference up to 4K output tokens.

It supports 128,000 tokens for prompts and responses. Fine-tuned versions cap user prompts at 16K tokens.

Vision input is supported alongside text. It excels in function calling and multilingual RAG.

Key strengths include enhanced tool use, instruction following, and safety modes. Benchmarks show 70% on HumanEval and 67% on MMLU.

Fine-tuning is available with your dataset in supported regions. Custom models limit prompts to 16K tokens and responses to 4K.

Ready to create?

Start generating with Cohere: Command R (08-2024) on ModelsLab.

Try Cohere: Command R (08-2024)API Documentation