18-Death/sq-vigenere-base64-ecqa
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 16, 2026Architecture:Transformer Cold
The 18-Death/sq-vigenere-base64-ecqa model is a 3.1 billion parameter language model fine-tuned from an unspecified base model using TRL. It is designed for text generation tasks, particularly for responding to open-ended questions. With a context length of 32768 tokens, it can process and generate longer sequences of text.
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Model Overview
The 18-Death/sq-vigenere-base64-ecqa is a 3.1 billion parameter language model that has been fine-tuned for text generation. It leverages the TRL (Transformers Reinforcement Learning) framework for its training process.
Key Capabilities
- Text Generation: The model is capable of generating coherent and contextually relevant text based on a given prompt or question.
- Question Answering: It is particularly suited for open-ended question answering, as demonstrated by its quick start example.
- Long Context Handling: With a context length of 32768 tokens, it can process and generate longer text sequences, allowing for more detailed and extensive responses.
Training Details
The model was trained using Supervised Fine-Tuning (SFT) with the TRL library. The specific base model from which it was fine-tuned is not explicitly stated in the provided information.
Good For
- Generating creative or conversational responses to prompts.
- Applications requiring text completion or expansion based on user input.
- Exploring open-ended questions where a nuanced or speculative answer is desired.