Overview

ChuGyouk/F_R11_T2 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/F_R11 base model. This iteration leverages the TRL (Transformer Reinforcement Learning) library for its training procedure, specifically employing Supervised Fine-Tuning (SFT). The model supports a substantial context length of 32768 tokens, enabling it to process and generate longer, more complex sequences of text.

Key Capabilities

• Instruction Following: Designed to generate responses based on explicit user instructions.
• Text Generation: Capable of producing coherent and contextually relevant text for various prompts.
• Conversational AI: Suitable for generating dialogue and engaging in question-answering scenarios.

Good for

• Developing chatbots and virtual assistants requiring nuanced responses.
• Applications needing long-form text generation or summarization.
• Research and experimentation with SFT-trained models on a substantial context window.