Alelcv27/Qwen2.5-7B-Code

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Jan 25, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Alelcv27/Qwen2.5-7B-Code is a 7.6 billion parameter Qwen2.5 model developed by Alelcv27, finetuned from unsloth/qwen2.5-7b-instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen2.5 architecture and efficient training methodology.

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Model Overview

Alelcv27/Qwen2.5-7B-Code is a 7.6 billion parameter language model, developed by Alelcv27. It is a finetuned version of the unsloth/qwen2.5-7b-instruct-bnb-4bit base model, indicating its foundation in the Qwen2.5 architecture.

Key Characteristics

  • Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
  • Base Model: Built upon the Qwen2.5-7B-Instruct architecture, suggesting capabilities for instruction-following and general language generation.
  • License: The model is released under the Apache-2.0 license, allowing for broad use and distribution.

Potential Use Cases

This model is suitable for applications requiring a 7.6 billion parameter language model with efficient training origins. Its instruction-tuned base suggests applicability in tasks such as:

  • General text generation
  • Instruction-following tasks
  • Chatbot development
  • Content creation

Finetunes
4 models