ChuGyouk/F_R1_1_T1
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Mar 26, 2026Architecture:Transformer Warm
ChuGyouk/F_R1_1_T1 is an 8 billion parameter language model developed by ChuGyouk, fine-tuned from the F_R1_1 base model. This model was trained using Supervised Fine-Tuning (SFT) with the TRL framework, specializing in text generation tasks. It offers a 32,768 token context length, making it suitable for applications requiring coherent and extended conversational outputs.
Loading preview...
Model Overview
ChuGyouk/F_R1_1_T1 is an 8 billion parameter language model, fine-tuned by ChuGyouk from its base model, F_R1_1. This iteration focuses on enhancing text generation capabilities through Supervised Fine-Tuning (SFT).
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 for processing and generating longer sequences of text.
- TRL Framework: Developed using the TRL (Transformer Reinforcement Learning) library, indicating a focus on advanced fine-tuning techniques.
Training Details
The model underwent a Supervised Fine-Tuning (SFT) process. The training utilized specific versions of key frameworks:
- TRL: 0.24.0
- Transformers: 5.2.0
- Pytorch: 2.10.0
- Datasets: 4.3.0
- Tokenizers: 0.22.2
Good For
- Conversational AI: Its text generation focus and extended context make it suitable for dialogue systems and chatbots.
- Creative Writing: Can be used for generating stories, scripts, or other creative content.
- Question Answering: Capable of generating detailed answers to complex questions, leveraging its fine-tuned understanding.