sdhossain24/Qwen3-8B-CTRL
sdhossain24/Qwen3-8B-CTRL is an 8 billion parameter language model fine-tuned from Qwen/Qwen3-8B. This model has been specifically trained using SFT (Supervised Fine-Tuning) via the TRL library to enhance its conversational and instruction-following capabilities. With a 32768 token context length, it is optimized for generating coherent and contextually relevant text responses.
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Overview
sdhossain24/Qwen3-8B-CTRL is an 8 billion parameter language model derived from the Qwen/Qwen3-8B base model. It has undergone Supervised Fine-Tuning (SFT) using the TRL library, a framework designed for transformer reinforcement learning. This fine-tuning process aims to improve the model's ability to understand and generate responses based on given instructions and conversational prompts.
Key Capabilities
- Instruction Following: Enhanced ability to process and respond to user instructions.
- Text Generation: Capable of generating coherent and contextually appropriate text, as demonstrated by its use in a text-generation pipeline.
- Conversational AI: Optimized for interactive dialogue, making it suitable for question-answering and chat-based applications.
Training Details
The model was trained using SFT, leveraging the TRL framework (version 0.22.1). The training procedure utilized specific versions of key libraries including Transformers (4.57.6), Pytorch (2.9.1+cu128), Datasets (4.5.0), and Tokenizers (0.22.2). Further details on the training run are available via Weights & Biases.
Good For
- Developing conversational agents.
- Generating creative or informative text based on prompts.
- Applications requiring robust instruction-following from an 8B parameter model.