18-Death/sq-vigenere-base64-gsm8k
The 18-Death/sq-vigenere-base64-gsm8k model is a 3.1 billion parameter language model fine-tuned by 18-Death using TRL. It features a context length of 32768 tokens. This model is designed for general text generation tasks, leveraging its fine-tuned architecture to produce coherent and contextually relevant responses.
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Model Overview
18-Death/sq-vigenere-base64-gsm8k is a 3.1 billion parameter language model developed by 18-Death. It has been fine-tuned using the TRL (Transformers Reinforcement Learning) library, indicating a focus on optimizing its performance through supervised fine-tuning (SFT) methods.
Key Capabilities
- Text Generation: Capable of generating human-like text based on given prompts.
- Extended Context: Supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text while maintaining coherence.
- Fine-tuned Performance: Benefits from supervised fine-tuning, which typically enhances its ability to follow instructions and generate relevant outputs for various text-based tasks.
Training Details
The model was trained using the SFT (Supervised Fine-Tuning) method, a common approach for adapting pre-trained language models to specific tasks or improving their general conversational abilities. The training utilized specific versions of key frameworks:
- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.10.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Good For
- General conversational AI applications.
- Generating creative content or responses.
- Tasks requiring understanding and generation over long contexts.