HA-Siala/Mamba-full-v0.1

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kTool Calling:SupportedPublished:Jun 11, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

HA-Siala/Mamba-full-v0.1 is a fine-tuned Mistral model developed by HA-Siala. This model is specifically optimized for identifying flaws within Mamba code and generating refactored versions of that code, making it suitable for Mamba code analysis and improvement tasks.

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HA-Siala/Mamba-full-v0.1 Overview

HA-Siala/Mamba-full-v0.1 is a specialized language model based on the Mistral architecture, developed by HA-Siala. Its primary function is to analyze Mamba codebases to detect potential flaws and subsequently produce refactored versions of the identified problematic code segments. This model is a result of fine-tuning efforts, leveraging a dedicated dataset and source code detailed in its associated GitHub repository.

Key Capabilities

  • Mamba Code Flaw Detection: Identifies errors, inefficiencies, or sub-optimal patterns within Mamba code.
  • Automated Code Refactoring: Generates improved, refactored versions of Mamba code to address detected flaws.
  • Specialized for Mamba: Tailored specifically for the Mamba programming paradigm and syntax.

Good For

  • Developers working with Mamba code who need assistance in identifying and correcting code flaws.
  • Automated code quality checks and refactoring pipelines for Mamba projects.
  • Research and development in automated code improvement for specific programming models like Mamba.

For more detailed information on the dataset and source code used for training, please refer to the official GitHub repository.

Finetunes
1 models