ChuGyouk/R18
ChuGyouk/R18 is an 8 billion parameter language model fine-tuned from ChuGyouk/Qwen3-8B-Base. This model has been specifically trained using the TRL library for instruction following and general text generation tasks. It is designed for developers seeking a capable 8B model for various natural language processing applications. The model leverages its base architecture to provide robust performance in conversational AI and content creation.
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Model Overview
ChuGyouk/R18 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/Qwen3-8B-Base architecture. This model has undergone supervised fine-tuning (SFT) using the TRL (Transformer Reinforcement Learning) library, indicating an optimization for instruction-following and generating coherent, contextually relevant text.
Key Capabilities
- Instruction Following: Optimized through SFT to better understand and respond to user prompts.
- Text Generation: Capable of generating diverse and relevant text based on given inputs.
- Base Model Enhancement: Builds upon the capabilities of the Qwen3-8B-Base model, enhancing its general utility.
Training Details
The model was trained using the SFT method, leveraging specific versions of popular machine learning frameworks:
- TRL: 0.24.0
- Transformers: 5.2.0
- PyTorch: 2.10.0
- Datasets: 4.3.0
- Tokenizers: 0.22.2
This fine-tuned model is suitable for developers looking for an 8B parameter model with improved conversational and generative abilities, particularly for applications requiring nuanced responses to instructions.