Command Nightly

🚧

This model is in active development. Our team is pushing hard to ensure command is safe, and helpful for our users. As you experiment with the model and run into issues, please help us by flagging it to our team by emailing us at [email protected]

Command is Cohere's generative model that responds well with instruction-like prompts, and is available in two sizes: command-light and command. The command model demonstrates better performance, and command-light is a great option for developers who require fast response, like those building chatbots.

To reduce the turnaround time for releases, we have nightly versions of command available. This means that every week, you can expect the performance of command-nightly-* to improve.

📘

If you were previously using the command-xlarge-20221108 model, you will now be redirected to the command-nightly model. Please note that access to the command-xlarge-20221108 model will be discontinued after January 30, 2023. The command-nightly model has shown enhancements in all generative tasks, and we anticipate you will notice an improvement.

Example Prompts

Prompt: Write me a poem about Leetcode.

Completion:
I am a leetcode problem,
I am here to trouble you,
I will give you a headache,
And make you want to cry.
–

Prompt: Extract the name of the vendor from the invoice: PURCHASE #0521 NIKE XXX3846.  
Completion: Nike is the vendor.

Get Started

Set up

Install the SDK, if you haven't already.

pip install cohere

Then, set up the Cohere client.

import cohere  
co = cohere.Client(api_key)

Create prompt

prompt = "Write an introductory paragraph for a blog post about language models."

Generate text

response = co.generate(  
    model='command-nightly',  
    prompt = prompt,  
    max_tokens=200,  
    temperature=0.750)
  intro_paragraph = response.generations[0].text

FAQ

Can users train Command?
Users cannot train Command in OS at this time. However, our team can handle this on a case by case basis. Please email [email protected] if you’re interested in training this model.

Where can I leave feedback about Cohere's generative models?
Please leave feedback in #product-updates on Discord.