Aminefitta/PexMind-1.0
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Mar 18, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
Aminefitta/PexMind-1.0 is a 7.6 billion parameter Qwen2-based instruction-tuned language model developed by Aminefitta, fine-tuned from unsloth/qwen2.5-coder-7b-instruct-bnb-4bit. Optimized for coding tasks, it leverages Unsloth for faster training and supports a 32768 token context length. This model is designed for developers seeking an efficient and capable coding assistant.
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Aminefitta/PexMind-1.0: A Qwen2-based Coding Assistant
Aminefitta/PexMind-1.0 is a 7.6 billion parameter instruction-tuned language model developed by Aminefitta. It is fine-tuned from the unsloth/qwen2.5-coder-7b-instruct-bnb-4bit model, indicating a strong focus on code-related tasks.
Key Capabilities
- Code-centric Performance: Fine-tuned from a 'coder' base model, suggesting enhanced performance for programming and development tasks.
- Efficient Training: Utilizes Unsloth and Huggingface's TRL library for accelerated training, enabling faster iteration and deployment.
- Extended Context Window: Supports a substantial context length of 32768 tokens, beneficial for handling larger codebases or complex multi-turn coding conversations.
Good For
- Code Generation: Assisting with writing new code snippets or functions.
- Code Explanation: Understanding and explaining existing code.
- Debugging Support: Potentially aiding in identifying and resolving code issues.
- Developer Workflows: Integrating into development environments for various coding-related prompts.