ChuGyouk/6 is a 4 billion parameter language model developed by ChuGyouk, fine-tuned from ChuGyouk/Qwen3-4B-Base. This model is trained using SFT on the ChuGyouk/0120FINAL-AGUINAS-0.5k dataset, offering a 40960 token context length. It is designed for general text generation tasks, leveraging its fine-tuned base for conversational and question-answering applications.
Loading preview...
Overview
ChuGyouk/6 is a 4 billion parameter language model, fine-tuned by ChuGyouk from its base model, ChuGyouk/Qwen3-4B-Base. This model was developed using the TRL (Transformer Reinforcement Learning) library, specifically employing Supervised Fine-Tuning (SFT) on the ChuGyouk/0120FINAL-AGUINAS-0.5k dataset. It supports a substantial context length of 40960 tokens, making it suitable for processing longer inputs and generating coherent, extended responses.
Key Capabilities
- Text Generation: Capable of generating human-like text based on given prompts.
- Fine-tuned Performance: Benefits from SFT on a specific dataset, suggesting improved performance on tasks related to the training data's domain.
- Extended Context Window: With a 40960 token context length, it can handle more complex and lengthy conversational turns or document analysis.
Good For
- Conversational AI: Its fine-tuned nature and context window make it suitable for interactive dialogue systems.
- Question Answering: Can be used to generate answers to user queries, especially when the context is provided.
- General Purpose Text Generation: Applicable for various tasks requiring creative or informative text output.