18-Death/sq-rot13-walnut53-gsm8k
The 18-Death/sq-rot13-walnut53-gsm8k is a 3.1 billion parameter language model fine-tuned using the TRL library. This model is based on an unspecified architecture and has a context length of 32768 tokens. It was trained using Supervised Fine-Tuning (SFT) and is suitable for general text generation tasks.
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Model Overview
The 18-Death/sq-rot13-walnut53-gsm8k is a 3.1 billion parameter language model that has been fine-tuned using the TRL (Transformers Reinforcement Learning) library. This model was developed by 18-Death and utilizes a context length of 32768 tokens, making it capable of processing relatively long inputs.
Training Details
The model underwent Supervised Fine-Tuning (SFT) as its primary training procedure. The development leveraged several key frameworks:
- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.10.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on user prompts.
- Long Context Handling: Supports a substantial context window of 32768 tokens, allowing for more extensive conversational or document-based interactions.
Recommended Use Cases
This model is suitable for various text generation applications where a medium-sized model with a large context window is beneficial. It can be used for tasks such as:
- Answering open-ended questions.
- Creative writing prompts.
- General conversational AI.
- Content creation requiring longer input understanding.