ChuGyouk/F_R11_1_T1
ChuGyouk/F_R11_1_T1 is an 8 billion parameter language model developed by ChuGyouk, fine-tuned from the F_R11_1 base model using the TRL library. This model is optimized for text generation tasks, demonstrating capabilities in conversational responses and creative text completion. With a 32K context length, it is suitable for applications requiring extended conversational memory or processing longer prompts.
Loading preview...
Model Overview
ChuGyouk/F_R11_1_T1 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/F_R11_1 base model. The fine-tuning process utilized the TRL (Transformer Reinforcement Learning) library, specifically employing Supervised Fine-Tuning (SFT) techniques.
Key Capabilities
- Text Generation: Excels at generating coherent and contextually relevant text based on user prompts.
- Conversational AI: Demonstrated ability to engage in question-answering and generate creative responses, as shown in the quick start example.
- Extended Context: Supports a context length of 32,768 tokens, allowing for processing longer inputs and maintaining conversational history over extended interactions.
Training Details
The model was trained using the TRL framework (version 0.24.0) with Transformers (5.2.0), PyTorch (2.10.0), Datasets (4.3.0), and Tokenizers (0.22.2). The training procedure involved Supervised Fine-Tuning (SFT).
Use Cases
This model is well-suited for applications requiring robust text generation, such as chatbots, content creation, and interactive storytelling, particularly where longer context understanding is beneficial.