18-Death/sq-base64-atbash-aqua_rat
The 18-Death/sq-base64-atbash-aqua_rat model is a 3.1 billion parameter causal language model fine-tuned by 18-Death. This model was trained using the TRL library and is designed for text generation tasks, offering a 32768 token context length. It is a fine-tuned version of an unspecified base model, optimized for general text generation applications.
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Model Overview
The 18-Death/sq-base64-atbash-aqua_rat is a 3.1 billion parameter language model developed by 18-Death. It is a fine-tuned variant of an unspecified base model, leveraging the TRL library for its training process. The model supports a substantial context length of 32768 tokens, making it suitable for processing longer inputs and generating coherent, extended responses.
Key Capabilities
- Text Generation: Excels at generating human-like text based on given prompts.
- Instruction Following: Capable of responding to user queries and instructions, as demonstrated by the quick start example.
- Extended Context: Benefits from a 32768 token context window, allowing for more detailed and contextually aware outputs.
Training Details
The model was trained using Supervised Fine-Tuning (SFT) with 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.
Good For
- General-purpose text generation tasks.
- Applications requiring a model with a relatively large context window for processing and generating longer texts.
- Developers looking for a fine-tuned model that can be easily integrated using the Hugging Face
transformerspipeline.