Takopiii/qwen2.5-coder-hpe-finetuned_try_1
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:May 28, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
Takopiii/qwen2.5-coder-hpe-finetuned_try_1 is a 7.6 billion parameter Qwen2.5-Coder model developed by Takopiii, fine-tuned for coding tasks. This model leverages Unsloth and Huggingface's TRL library for accelerated training. With a context length of 32768 tokens, it is optimized for code generation and understanding, offering enhanced performance for programming-related applications.
Loading preview...
Overview
Takopiii/qwen2.5-coder-hpe-finetuned_try_1 is a 7.6 billion parameter language model based on the Qwen2.5-Coder architecture. Developed by Takopiii, this model was fine-tuned from unsloth/qwen2.5-coder-7b-instruct-bnb-4bit using the Unsloth framework and Huggingface's TRL library, which enabled a 2x faster training process.
Key Capabilities
- Code-centric Performance: Fine-tuned specifically for coding tasks, suggesting improved performance in code generation, completion, and understanding.
- Efficient Training: Benefits from Unsloth's optimization, indicating a focus on efficient resource utilization during its development.
- Qwen2.5-Coder Base: Inherits the robust capabilities of the Qwen2.5-Coder family, known for its strong performance in programming domains.
Good For
- Code Generation: Ideal for developers needing assistance with writing code snippets or entire functions.
- Code Understanding: Useful for tasks involving analyzing, explaining, or debugging code.
- Instruction-Following: As an instruct-tuned model, it is designed to follow specific programming-related instructions effectively.