christinakopi/thinkprm-reproduced
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Apr 19, 2026Architecture:Transformer Cold
The christinakopi/thinkprm-reproduced model is a 1.5 billion parameter language model, fine-tuned from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B using TRL (Transformers Reinforcement Learning). This model is specifically trained with Supervised Fine-Tuning (SFT) and features a 32768 token context length. It is designed for text generation tasks, leveraging its base architecture for efficient processing.
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Model Overview
The christinakopi/thinkprm-reproduced model is a 1.5 billion parameter language model, fine-tuned from the deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B base model. It was developed by christinakopi and trained using the TRL library, specifically employing a Supervised Fine-Tuning (SFT) procedure.
Key Capabilities
- Text Generation: Optimized for generating coherent and contextually relevant text based on user prompts.
- Efficient Processing: Benefits from its 1.5 billion parameter size, offering a balance between performance and computational efficiency.
- Extended Context Window: Features a substantial 32768 token context length, allowing it to process and generate longer sequences of text while maintaining context.
- TRL Framework: Built upon the TRL (Transformers Reinforcement Learning) framework, indicating potential for further reinforcement learning applications or fine-tuning.
Good For
- General Text Generation: Suitable for various text generation tasks where a compact yet capable model is required.
- Exploration with TRL: Developers interested in experimenting with models fine-tuned using the TRL library.
- Resource-Constrained Environments: Its 1.5B parameter count makes it a viable option for deployment in environments with limited computational resources, compared to much larger models.