18-Death/sq-base64-base64-aqua_rat
The 18-Death/sq-base64-base64-aqua_rat model is a 3.1 billion parameter language model fine-tuned using the TRL library. It is designed for text generation tasks, specifically instruction-following, and has a context length of 32768 tokens. This model is a fine-tuned version of an unspecified base model, optimized for generating responses to user prompts.
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Model Overview
The 18-Death/sq-base64-base64-aqua_rat is a 3.1 billion parameter language model, fine-tuned for text generation. It leverages the TRL library for its training process, specifically using Supervised Fine-Tuning (SFT).
Key Capabilities
- Instruction Following: The model is designed to generate coherent and relevant text based on user prompts, as demonstrated by its quick start example.
- Text Generation: It can be used for various text generation tasks, producing new tokens based on an input context.
Training Details
The model was trained using the SFT method within the TRL framework. The development environment included TRL 1.3.0, Transformers 5.6.2, Pytorch 2.10.0, Datasets 4.8.4, and Tokenizers 0.22.2.
Usage
Developers can quickly integrate this model using the transformers library's pipeline function for text generation, specifying max_new_tokens and return_full_text parameters for controlled output.