mtepe01/mentorx-qwen25coder-7b-v2-merged

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 5, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The mtepe01/mentorx-qwen25coder-7b-v2-merged is a 7.6 billion parameter Qwen2.5-based causal language model, developed by mtepe01. This model is specifically finetuned for coding tasks, leveraging the unsloth/qwen2.5-coder-7b-instruct-bnb-4bit base model. It was trained using Unsloth and Huggingface's TRL library, emphasizing faster training for code generation and understanding.

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Model Overview

The mtepe01/mentorx-qwen25coder-7b-v2-merged is a 7.6 billion parameter language model, developed by mtepe01. It is built upon the Qwen2.5 architecture and has been specifically finetuned for coding-related tasks. The model utilizes unsloth/qwen2.5-coder-7b-instruct-bnb-4bit as its base, indicating an optimization for code generation and comprehension.

Key Capabilities

  • Code-centric Finetuning: Optimized for programming tasks, suggesting proficiency in generating, understanding, and debugging code.
  • Efficient Training: Finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
  • Qwen2.5 Architecture: Benefits from the robust capabilities of the Qwen2.5 model family.

Good For

  • Code Generation: Ideal for developers needing assistance with writing code snippets or entire functions.
  • Code Understanding: Can be used for explaining code, refactoring, or identifying potential issues.
  • Rapid Prototyping: Its specialized training makes it suitable for quickly generating programming solutions.

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