Codestral Embed

Codestral Embed

Mistral AI
Codestral Mamba

Codestral Mamba

Mistral AI
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About

Codestral Embed is Mistral AI's first embedding model, specialized for code, optimized for high-performance code retrieval and semantic understanding. It significantly outperforms leading code embedders in the market today, such as Voyage Code 3, Cohere Embed v4.0, and OpenAI’s large embedding model. Codestral Embed can output embeddings with different dimensions and precisions; for instance, with a dimension of 256 and int8 precision, it still performs better than any model from competitors. The dimensions of the embeddings are ordered by relevance, allowing users to choose the first n dimensions for a smooth trade-off between quality and cost. It excels in retrieval use cases on real-world code data, particularly in benchmarks like SWE-Bench, which is based on real-world GitHub issues and corresponding fixes, and Text2Code (GitHub), relevant for providing context for code completion or editing.

About

As a tribute to Cleopatra, whose glorious destiny ended in tragic snake circumstances, we are proud to release Codestral Mamba, a Mamba2 language model specialized in code generation, available under an Apache 2.0 license. Codestral Mamba is another step in our effort to study and provide new architectures. It is available for free use, modification, and distribution, and we hope it will open new perspectives in architecture research. Mamba models offer the advantage of linear time inference and the theoretical ability to model sequences of infinite length. It allows users to engage with the model extensively with quick responses, irrespective of the input length. This efficiency is especially relevant for code productivity use cases, this is why we trained this model with advanced code and reasoning capabilities, enabling it to perform on par with SOTA transformer-based models.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprise software teams needing a tool for semantic code search, retrieval-augmented generation, and code analytics across large-scale codebases

Audience

Developers and anyone in search of an AI language model to generate code

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
United States
mistral.ai/news/codestral-embed

Company Information

Mistral AI
France
mistral.ai/news/codestral-mamba/

Alternatives

Alternatives

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voyage-4-large

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Mistral NeMo

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Categories

Categories

Integrations

Mistral AI
302.AI
AI-FLOW
Clojure
Echo AI
Elixir
Hugging Face
HumanLayer
Klee
LM-Kit.NET
Lunary
Mistral Code
Motific.ai
PHP
Prompt Security
Simplismart
SydeLabs
Verta
WebLLM
Yaseen AI

Integrations

Mistral AI
302.AI
AI-FLOW
Clojure
Echo AI
Elixir
Hugging Face
HumanLayer
Klee
LM-Kit.NET
Lunary
Mistral Code
Motific.ai
PHP
Prompt Security
Simplismart
SydeLabs
Verta
WebLLM
Yaseen AI
Claim Codestral Embed and update features and information
Claim Codestral Embed and update features and information
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Claim Codestral Mamba and update features and information