18-Death/mt-rot13-rot13-sciq
TEXT GENERATIONConcurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 18, 2026Architecture:Transformer Featherless Exclusive Cold
The 18-Death/mt-rot13-rot13-sciq model is a 3.1 billion parameter language model fine-tuned by 18-Death with a context length of 32768 tokens. It was trained using the TRL framework. This model is designed for text generation tasks, particularly for responding to user prompts.
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Model Overview
The 18-Death/mt-rot13-rot13-sciq is a 3.1 billion parameter language model, fine-tuned by 18-Death. It leverages the TRL (Transformers Reinforcement Learning) framework for its training process and supports a substantial context length of 32768 tokens.
Key Capabilities
- Text Generation: The model is primarily designed for generating text based on provided prompts, as demonstrated by its quick start example.
- Fine-tuned: It is a fine-tuned version, indicating specialized training beyond a base model.
- TRL Framework: The model's training utilized the TRL library, which is often associated with advanced fine-tuning techniques.
Good For
- Interactive Text Generation: Suitable for applications requiring conversational or prompt-based text responses.
- Exploration of TRL-trained Models: Developers interested in models trained with the TRL framework might find this a useful example.