ChuGyouk/R11 is an 8 billion parameter causal language model, fine-tuned from ChuGyouk/Qwen3-8B-Base. This model was trained using Supervised Fine-Tuning (SFT) with the TRL framework, making it suitable for general text generation tasks. It supports a context length of 32768 tokens, providing extensive capacity for processing longer inputs and generating coherent, extended responses.
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ChuGyouk/R11: An 8B Parameter Fine-Tuned Language Model
ChuGyouk/R11 is an 8 billion parameter causal language model, developed by ChuGyouk. It is a fine-tuned iteration of the ChuGyouk/Qwen3-8B-Base model, leveraging the TRL (Transformer Reinforcement Learning) framework for its training process.
Key Capabilities
- General Text Generation: Optimized for a wide array of text generation tasks through Supervised Fine-Tuning (SFT).
- Extended Context Window: Features a substantial context length of 32768 tokens, enabling the model to handle and generate longer, more complex textual sequences.
- Foundation Model: Built upon the Qwen3-8B-Base architecture, providing a robust foundation for various NLP applications.
Training Details
The model underwent Supervised Fine-Tuning (SFT) using the TRL framework. The training environment utilized specific versions of key libraries:
- TRL: 0.24.0
- Transformers: 5.2.0
- Pytorch: 2.10.0
- Datasets: 4.3.0
- Tokenizers: 0.22.2
This model is well-suited for developers looking for a capable 8B parameter model for general-purpose text generation, especially when long context understanding is beneficial.