18-Death/mt-atbash-base64-aqua_rat
mt-atbash-base64-aqua_rat is a 3.1 billion parameter language model developed by 18-Death, fine-tuned using the TRL framework. This model is designed for general text generation tasks, offering a 32,768 token context length. Its primary application is generating conversational responses and creative text based on user prompts.
Loading preview...
Model Overview
mt-atbash-base64-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) library, indicating a focus on improving its conversational and generative capabilities through advanced training techniques. The model supports a substantial context length of 32,768 tokens, allowing it to process and generate longer, more coherent text sequences.
Key Capabilities
- General Text Generation: Capable of generating diverse text based on user prompts.
- Conversational AI: Suitable for tasks requiring natural language responses, as demonstrated by its quick start example.
- Extended Context: Benefits from a 32,768 token context window, enabling it to maintain coherence over longer interactions or documents.
Training Details
This model was trained using Supervised Fine-Tuning (SFT) within the TRL framework. The training utilized specific versions of key libraries:
- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.10.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Good For
- Developing chatbots and conversational agents.
- Generating creative content, stories, or dialogue.
- Applications requiring understanding and generation of long-form text.