18-Death/mt-atbash-atbash-ecqa
The 18-Death/mt-atbash-atbash-ecqa model is a 3.1 billion parameter language model fine-tuned using the TRL framework. It is designed for text generation tasks, specifically for responding to user prompts. With a substantial context length of 32768 tokens, it can process and generate longer sequences of text. This model is suitable for applications requiring conversational AI or creative text completion based on extensive input.
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Model Overview
The 18-Death/mt-atbash-atbash-ecqa is a 3.1 billion parameter language model, fine-tuned from an unspecified base model using the TRL library. It leverages a substantial context window of 32768 tokens, enabling it to handle and generate extended text sequences.
Key Capabilities
- Text Generation: Optimized for generating responses to user prompts.
- Long Context Handling: Benefits from a 32768-token context length, suitable for detailed conversations or complex input.
- SFT Training: Trained using Supervised Fine-Tuning (SFT) for improved performance on specific tasks.
Usage
This model can be easily integrated into applications using the Hugging Face transformers library, as demonstrated by the provided Python pipeline example for text generation. It is particularly well-suited for tasks requiring coherent and contextually relevant text outputs based on user queries.
Training Details
The model was trained with the following framework versions:
- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.10.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2