18-Death/mt-rot13-bijection-ecqa
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 18, 2026Architecture:Transformer Cold
The 18-Death/mt-rot13-bijection-ecqa is a 3.1 billion parameter language model, fine-tuned from an unspecified base model using the TRL framework. It features a context length of 32768 tokens and is designed for text generation tasks. This model was trained using Supervised Fine-Tuning (SFT) and is suitable for general text generation applications.
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Overview
The 18-Death/mt-rot13-bijection-ecqa is a 3.1 billion parameter language model, fine-tuned from an unspecified base model. It leverages the TRL (Transformers Reinforcement Learning) framework for its training process, specifically employing Supervised Fine-Tuning (SFT).
Key Capabilities
- Text Generation: The model is capable of generating human-like text based on a given prompt or question.
- Extended Context: It supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Training Details
The model was trained using the SFT method within the TRL framework. The development environment included:
- 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: Suitable for various applications requiring text output, such as answering open-ended questions or creative writing prompts.
- Exploratory Use: Developers can use the provided
pipelineexample to quickly integrate and test its text generation capabilities.