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Mistral launches new services and SDK to let customers fine-tune its models
June 13, 2024

Mistral launches new services and SDK to let customers fine-tune its models

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French AI startup Mistral is introducing new AI model customization options, including paid plans, to let developers and enterprises fine-tune its generative models for particular use cases.

The first is self-service. Mistral has released a software development kit (SDK), Mistral-Finetune, for fine-tuning its models on workstations, servers and small datacenter nodes.

In the readme for the SDK’s GitHub repository, Mistral notes that the SDK is optimized for multi-GPU setups but can scale down to a single Nvidia A100 or H100 GPU for fine-tuning smaller models like Mistral 7B. Fine-tuning on a data set such as UltraChat, a collection of 1.4 million dialogs with OpenAI’s ChatGPT, takes around half an hour using Mistral-Finetune across eight H100s, Mistral says.

For developers and companies that prefer a more managed solution, there’s Mistral’s newly launched fine-tuning services available through the company’s API. Compatible with two of Mistral’s models for now, Mistral Small and the aforementioned Mistral 7B, Mistral says that the fine-tuning services will gain support for more of its models in the coming weeks.

Lastly, Mistral is debuting custom training services, currently only available to select customers, to fine-tune any Mistral model for an organization’s apps using their data. ‘This approach enables the creation of highly specialized and optimized models for their specific domain,’ the company explains in a post on its official blog.

Mistral, which my colleague Ingrid Lunden recently reported is seeking to raise around $600 million at a $6 billion valuation from investors including DST, General Catalyst and Lightspeed Venture Partners, is no doubt looking to grow revenue as it faces considerable — and growing — competition in the generative AI space.

Since Mistral unveiled its first generative model in September 2023, it’s released several more, including a code-generating model, and rolled out paid APIs. But it hasn’t disclosed how many users it has, nor what its revenues are looking like.


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