18-Death/mt-bijection-vigenere-gsm8k
The 18-Death/mt-bijection-vigenere-gsm8k is a 3.1 billion parameter language model fine-tuned using the TRL framework. This model is based on an unspecified base architecture and has a context length of 32768 tokens. It is designed for general text generation tasks, demonstrating capabilities in responding to open-ended prompts.
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Model Overview
The 18-Death/mt-bijection-vigenere-gsm8k is a 3.1 billion parameter language model. It has been fine-tuned using the TRL library for supervised fine-tuning (SFT) on an unspecified base model. The model supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on user prompts.
- Instruction Following: Designed to respond to open-ended questions and instructions, as demonstrated by the quick start example.
Training Details
The model was trained using the Supervised Fine-Tuning (SFT) method within the TRL framework. The development environment included 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
Usage
This model can be readily used for text generation tasks via the Hugging Face transformers pipeline, as shown in the quick start guide. It is suitable for applications requiring conversational responses or creative text outputs.