18-Death/sq-rot13-base64-gsm8k
The 18-Death/sq-rot13-base64-gsm8k model is a 3.1 billion parameter language model fine-tuned using SFT (Supervised Fine-Tuning) with the TRL library. This model is based on an unspecified base architecture and features a context length of 32768 tokens. It is designed for general text generation tasks, leveraging its fine-tuned capabilities for diverse conversational prompts.
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Overview
The 18-Death/sq-rot13-base64-gsm8k is a 3.1 billion parameter language model that has undergone Supervised Fine-Tuning (SFT) using the TRL library. While the specific base model is not detailed, this fine-tuned version is equipped with a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on user prompts.
- Long Context Handling: Benefits from a 32768-token context window, suitable for tasks requiring extensive input or generating detailed responses.
- SFT Training: Leverages Supervised Fine-Tuning for improved performance on specific tasks, though the exact nature of the fine-tuning dataset is not specified in the provided information.
Training Details
The model was trained using the SFT method, 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
Good For
- General text generation applications.
- Scenarios requiring processing or generating long passages of text.
- Exploratory use cases where a fine-tuned model with a large context window is beneficial.