ChuGyouk/R17
ChuGyouk/R17 is an 8 billion parameter language model fine-tuned from ChuGyouk/Qwen3-8B-Base, featuring a 32768-token context length. This model was trained using Supervised Fine-Tuning (SFT) with the TRL framework. It is designed for general text generation tasks, building upon the capabilities of its Qwen3-8B-Base foundation.
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Model Overview
ChuGyouk/R17 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/Qwen3-8B-Base architecture. It supports a substantial context length of 32768 tokens, making it suitable for processing longer inputs and generating coherent, extended responses.
Training Details
This model was developed using Supervised Fine-Tuning (SFT) with the TRL library. The training process leveraged specific framework versions:
- TRL: 0.24.0
- Transformers: 5.2.0
- Pytorch: 2.10.0
- Datasets: 4.3.0
- Tokenizers: 0.22.2
Key Capabilities
- General Text Generation: Excels at generating human-like text based on given prompts.
- Long Context Understanding: Benefits from its 32768-token context window, allowing for more nuanced and contextually aware outputs.
Intended Use Cases
- Conversational AI: Can be used for chatbots and interactive dialogue systems.
- Content Creation: Suitable for generating various forms of written content, from creative stories to informative articles.
- Question Answering: Capable of providing detailed answers to complex questions by leveraging its extensive context understanding.