18-Death/sq-bijection-base64-ecqa
The 18-Death/sq-bijection-base64-ecqa is a 3.1 billion parameter instruction-tuned language model developed by 18-Death. This model is a fine-tuned version of an unspecified base model, trained using the TRL framework. It is designed for general text generation tasks, demonstrating capabilities in responding to open-ended questions.
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Model Overview
The 18-Death/sq-bijection-base64-ecqa is a 3.1 billion parameter language model developed by 18-Death. It is a fine-tuned model, specifically trained using the TRL (Transformers Reinforcement Learning) framework. The model has a context length of 32768 tokens, making it suitable for processing relatively long inputs.
Key Capabilities
- Instruction Following: The model is instruction-tuned, indicating its ability to generate responses based on given prompts or questions.
- Text Generation: It can generate coherent and contextually relevant text, as demonstrated by its use in a
text-generationpipeline.
Training Details
The model underwent a Supervised Fine-Tuning (SFT) process. The training utilized specific versions of popular machine learning frameworks:
- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.10.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Intended Use
This model is suitable for applications requiring text generation based on user prompts, such as answering open-ended questions or generating creative text. Its fine-tuned nature suggests an improved ability to follow instructions compared to a base model.