Last updated 07-16-2024
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Codestral Mamba - Mistral AI
Discover the cutting-edge Codestral Mamba, Mistral AI's innovation in code generation AI. Codestral Mamba, named in homage to Cleopatra, is a specialized Mamba2 language model designed for coding tasks. Open-source and free for everyone, it’s distributed under the Apache 2.0 license, inviting you to join the frontier of architecture research. With its linear time inference and capability to handle sequences of theoretically infinite length, it’s built to enhance your code productivity.
Unlike traditional Transformer models that may struggle with longer sequences, Codestral Mamba shines, offering quick responses regardless of input size. Created with code and reasoning in mind, it matches state-of-the-art models in performance, making it an excellent local assistant for coding projects. You can test drive Codestral Mamba or its sibling, Codestral 22B, on la Plateforme, a flexible environment that supports extensive in-context learning up to 256k tokens.
Open-Source Model: Codestral Mamba is available under an Apache 2.0 license, promoting open-source collaboration.
Advanced Code Generation: The model is trained to perform complex coding tasks, matching the capabilities of the leading state-of-the-art models.
Efficient Performance: Delivers linear time inference, making it highly efficient for coding tasks, regardless of the input size.
Infinite Sequence Modelling: Uniquely designed to handle potentially infinite sequences without performance detriment.
Easy Deployment: Supports deployment through various ways, including the mistral-inference SDK, and is available for a test run on la Plateforme.
1) What is Codestral Mamba?
Codestral Mamba is an advanced AI model designed for code generation, it's part of the Mamba2 language model family and excels at performance with linear time inference, allowing it to handle very long sequences efficiently.
2) Is Codestral Mamba open-source?
Yes, the Codestral Mamba is open-source under the Apache 2.0 license, which allows free use, modification, and distribution.
3) How can I deploy Codestral Mamba?
You can deploy Codestral Mamba using the mistral-inference SDK or through the TensorRT-LLM, with support for local inference through llama.cpp.
4) What are Codestral Mamba's capabilities regarding in-context learning?
Codestral Mamba has been thoroughly tested on in-context retrieval capabilities for up to 256k tokens, expected to greatly assist in local code generation.
5) Can I test other models related to Codestral Mamba?
In addition to Codestral Mamba, you can test its big sister, Codestral 22B, on la Plateforme; while Codestral Mamba is free under the Apache 2.0 license, Codestral 22B is available under a commercial license.