moe122/business-books-llama3
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:May 9, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The moe122/business-books-llama3 is a 7.6 billion parameter Qwen2-based causal language model, developed by moe122. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen2 architecture and efficient fine-tuning process.
Loading preview...
Overview
This model, developed by moe122, is a 7.6 billion parameter Qwen2-based language model. It was fine-tuned from unsloth/Qwen2.5-7B-Instruct-bnb-4bit using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. The model is licensed under Apache-2.0.
Key Capabilities
- Efficient Fine-tuning: Leverages Unsloth for accelerated training.
- Qwen2 Architecture: Built upon the robust Qwen2 foundation.
Good For
- Developers seeking a Qwen2-based model fine-tuned with efficient methods.
- Applications requiring a 7.6 billion parameter model for general language tasks.