ChuGyouk/F_R19_1_T1
ChuGyouk/F_R19_1_T1 is an 8 billion parameter language model developed by ChuGyouk, fine-tuned from the F_R19_1 base model. This instruction-tuned model, trained with SFT using TRL, is designed for general text generation tasks with a context length of 32768 tokens. It focuses on generating coherent and contextually relevant responses to user prompts.
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Model Overview
ChuGyouk/F_R19_1_T1 is an 8 billion parameter language model, fine-tuned by ChuGyouk from its base model, F_R19_1. This model leverages Supervised Fine-Tuning (SFT) via the TRL library to enhance its instruction-following capabilities. It is designed to handle a substantial context window of 32768 tokens, allowing for more extensive and detailed interactions.
Key Capabilities
- Instruction Following: Optimized through SFT to better understand and respond to user prompts.
- General Text Generation: Capable of generating coherent and contextually appropriate text for a wide range of applications.
- Extended Context: Supports a 32768-token context length, beneficial for tasks requiring long-form understanding or generation.
Training Details
The model was trained using the TRL framework (version 0.24.0) in conjunction with Transformers (version 5.2.0), PyTorch (version 2.10.0), and Datasets (version 4.3.0). The training process focused on supervised fine-tuning to adapt the base model for improved performance in conversational and generative tasks.