18-Death/sq-walnut53-rot13-aqua_rat
18-Death/sq-walnut53-rot13-aqua_rat is a 3.1 billion parameter language model fine-tuned by 18-Death, utilizing the TRL framework. This model is designed for text generation tasks, offering a context length of 32768 tokens. It is suitable for conversational AI and generating responses to user prompts.
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Model Overview
18-Death/sq-walnut53-rot13-aqua_rat is a 3.1 billion parameter language model developed by 18-Death. It has been fine-tuned using the TRL (Transformers Reinforcement Learning) framework, specifically employing a Supervised Fine-Tuning (SFT) training procedure. This model is equipped with a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Key Capabilities
- Text Generation: The model is primarily designed for generating coherent and contextually relevant text based on given prompts.
- Conversational AI: Its fine-tuning process makes it suitable for interactive question-answering and dialogue systems.
- Long Context Handling: With a 32K token context window, it can maintain context over extended conversations or documents.
Training Details
The model's training leveraged the TRL framework (version 1.3.0) alongside Transformers (version 5.6.2), Pytorch (version 2.10.0), Datasets (version 4.8.4), and Tokenizers (version 0.22.2). The use of SFT indicates a focus on aligning the model's outputs with desired behaviors through supervised learning from a dataset.