Codestral Mamba

Codestral Mamba is a language model focused on code generation released by the Mistral AI team. It is based on the Mamba2 architecture and has the advantages of linear time reasoning and the ability to theoretically model infinite sequences. The model is professionally trained and has advanced code and reasoning capabilities, and is comparable to the most advanced Transformer-based models.

Demand population:

" Codestral Mamba is mainly aimed at developers and teams who need to improve code productivity. It helps users save time and improve work efficiency in programming tasks through fast code generation and reasoning capabilities, especially suitable for those situations where a lot of code and complex logic is needed."

Example of usage scenarios:

As a local code assistant, help developers quickly generate code

Provide new perspectives in architectural research and promote technological development

Used with Codestral 22B to provide model selection at different sizes

Product Features:

Linear time reasoning, fast response to long inputs

In theory, it can handle sequences of infinite lengths

Advanced code and reasoning skills, comparable to the SOTA Transformer model

Supports context retrieval capabilities up to 256k tokens

Can be deployed using the mistral-inference SDK

Support TensorRT-LLM and llama.cpp for local inference

Free use, modify and distribute under Apache 2.0 license

Tutorials for use:

1. Download the mistral-inference SDK

2. Get the original weight of Codestral Mamba from HuggingFace

3. Deploy Codestral Mamba Models using SDK

4. Configure TensorRT-LLM or llama.cpp for local inference as needed

5. Perform model testing on la Plateforme (codestral-mamba-2407)

6. Use the model's advanced code and reasoning capabilities to solve practical programming problems

7. Freely use, modify and distribute models under Apache 2.0 license