ChuGyouk/F_R15_T4
ChuGyouk/F_R15_T4 is an 8 billion parameter language model developed by ChuGyouk, fine-tuned from the F_R15 architecture. This model was trained using SFT (Supervised Fine-Tuning) with the TRL library, focusing on text generation tasks. It offers a 32,768 token context window, making it suitable for applications requiring extended conversational memory or processing longer documents.
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Model Overview
ChuGyouk/F_R15_T4 is an 8 billion parameter language model, fine-tuned by ChuGyouk from its base F_R15 architecture. This iteration leverages Supervised Fine-Tuning (SFT) using the TRL (Transformer Reinforcement Learning) library, indicating an optimization for specific text generation capabilities.
Key Capabilities
- Text Generation: Optimized for generating coherent and contextually relevant text based on user prompts.
- Extended Context: Features a 32,768 token context window, allowing it to process and generate longer sequences of text while maintaining conversational memory.
Training Details
The model was trained using SFT, a common method for adapting pre-trained language models to specific tasks. The training process utilized several key frameworks:
- TRL: 0.24.0
- Transformers: 5.2.0
- PyTorch: 2.10.0
- Datasets: 4.3.0
- Tokenizers: 0.22.2
This fine-tuned version is designed for developers looking for a capable 8B parameter model for various text generation applications.