Discover the power of Codestral Mamba, the revolutionary new opensource coding model from Mistral AI! This groundbreaking model is based on the Mamba 2 architecture and boasts an impressive 7 billion parameters. Learn how this model can enhance your coding productivity with its advanced capabilities and fast inference for large context tasks.

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[Link's Used]:
Codestral Mamba Blog Post: https://mistral.ai/news/codestralmamba/
Model Card: https://huggingface.co/mistralai/mamb...
API Key for LLM: https://console.mistral.ai/codestral?...
LM Studio Tutorial:    • LM Studio: Easiest Way To Run ANY Ope...  

In this video, we delve into:
**Overview of Codestral Mamba**: Understand the features of this powerful model, including its 256k token context window.
**Key Contributors**: Learn about the contributions of Albert Gu and Tri Dao in designing Codestral Mamba.
**Deployment Options**: Explore various deployment methods like the mistralinference SDK, TensorRTLLM, and upcoming support for llama.cpp.
**Licensing and Availability**: Find out how you can freely use, modify, and distribute Codestral Mamba under the Apache 2.0 license.
**Efficiency and Benchmarks**: See how Codestral Mamba performs in incontext retrieval and other benchmarks.

Detailed Features
**Linear Time Inference**: Unlike traditional Transformer models, Mamba models offer the advantage of linear time inference.
**Advanced Code and Reasoning Capabilities**: Enhances code productivity use cases by performing on par with stateoftheart Transformerbased models.
**Extensive Testing**: Tested on incontext retrieval capabilities up to 256k tokens, making it an excellent local code assistant.

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Additional Tags and Keywords
Codestral Mamba
Mistral AI
Opensource coding model
7 billion parameters
Mamba 2 architecture
Apache 2.0 license
Advanced coding capabilities
TensorRTLLM
llama.cpp support

Hashtags
#CodestralMamba #mistralai #OpensourceCoding #AdvancedCodingModel #techinnovation #ai