18-Death/mt-rot13-vigenere-gsm8k
The 18-Death/mt-rot13-vigenere-gsm8k model is a 3.1 billion parameter language model fine-tuned using the TRL framework. It has a context length of 32768 tokens. This model is a fine-tuned version of an unspecified base model, optimized for general text generation tasks through Supervised Fine-Tuning (SFT). Its primary application is generating conversational responses based on user prompts.
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Model Overview
The 18-Death/mt-rot13-vigenere-gsm8k is a 3.1 billion parameter language model, fine-tuned using the TRL (Transformers Reinforcement Learning) framework. It supports a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text. The model was developed through Supervised Fine-Tuning (SFT) on an unspecified base model.
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
- Conversational AI: Demonstrated ability to respond to open-ended questions and engage in dialogue, as shown in the quick start example.
- Fine-tuning: Built upon the TRL library, indicating a potential for further reinforcement learning-based optimizations.
Training Details
The model underwent a Supervised Fine-Tuning (SFT) process. The training utilized specific versions of popular machine learning frameworks:
- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.10.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Good For
- General-purpose text generation: Suitable for tasks requiring creative or informative text output.
- Prototyping conversational agents: Can be used as a base for developing interactive AI applications.
- Exploration of SFT models: Provides an example of a model fine-tuned with the TRL framework.