cs-552-2026-MMRF/15kDPO
The cs-552-2026-MMRF/15kDPO model is a 2 billion parameter language model, fine-tuned from an unspecified base model by cs-552-2026-MMRF. It was trained using the TRL library and features a context length of 32768 tokens. This model is designed for general text generation tasks, demonstrating capabilities in conversational AI and question answering.
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Model Overview
The cs-552-2026-MMRF/15kDPO is a 2 billion parameter language model developed by cs-552-2026-MMRF. It is a fine-tuned variant of an existing model, optimized through a training procedure that utilized the TRL library.
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on user prompts.
- Conversational AI: Demonstrated ability to respond to open-ended questions, suitable for interactive applications.
- Extended Context: Supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Training Details
The model underwent training using the Supervised Fine-Tuning (SFT) method. The development leveraged specific versions of popular machine learning frameworks:
- TRL: 1.3.0
- Transformers: 5.7.0
- Pytorch: 2.10.0+cu128
- Datasets: 4.8.5
- Tokenizers: 0.22.2
Usage
This model can be readily integrated into applications using the Hugging Face transformers library, as shown in the quick start example for text generation tasks.