fhai50032/Qwen2.5-GRPO-7B
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Feb 7, 2025License:apache-2.0Architecture:Transformer Open Weights Cold
fhai50032/Qwen2.5-GRPO-7B is a 7.6 billion parameter causal language model developed by fhai50032, fine-tuned from unsloth/Qwen2.5-7B-Instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging its efficient training methodology to provide a performant base for various applications.
Loading preview...
Overview
fhai50032/Qwen2.5-GRPO-7B is a 7.6 billion parameter language model developed by fhai50032. It is fine-tuned from the unsloth/Qwen2.5-7B-Instruct-unsloth-bnb-4bit base model, leveraging the Unsloth library in conjunction with Huggingface's TRL library.
Key Capabilities
- Efficient Training: This model benefits from a training process that is 2x faster due to the integration of Unsloth, which optimizes the fine-tuning process.
- Qwen2.5 Architecture: Built upon the Qwen2.5 architecture, it inherits the foundational capabilities of this model family.
- General Purpose: Suitable for a wide range of natural language processing tasks, including text generation, summarization, and question answering.
Good for
- Developers seeking a Qwen2.5-based model with an optimized and faster fine-tuning history.
- Applications requiring a 7B-class model for general language understanding and generation.
- Experimentation with models trained using efficient methods like Unsloth.