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DeepSeek-R1-Distill-Qwen-1.5B-FineTune-Performance-Enhancements
CALISTA-INDUSTRY/DeepSeek-R1-Distill-Qwen-1.5B-FineTune-Performance-Enhancements
DeepSeek-R1-Distill-Qwen-1.5B-FineTune-Performance-Enhancements is a machine learning model from CALISTA-INDUSTRY. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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At a glance
- License
- mit
- Access
- Public
- Created
- Jan 29, 2025
- Updated
- Apr 18, 2025
- SHA
- 0c6770f9
Model card
From the Hugging Face model README
DeepSeek-R1 Release
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!
🌐 Website & API are live now! Try DeepThink at chat.deepseek.com today!
🔥 Bonus: Open-Source Distilled Models!
🔬 Distilled from DeepSeek-R1, 6 small models fully open-sourced
📏 32B & 70B models on par with OpenAI-o1-mini
🤝 Empowering the open-source community
🌍 Pushing the boundaries of open AI!
🛠️ DeepSeek-R1: Technical Highlights
📈 Large-scale RL in post-training
🏆 Significant performance boost with minimal labeled data
🔢 Math, code, and reasoning tasks on par with OpenAI-o1
📄 More details: https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf
🌐 API Access & Pricing
⚙️ Use DeepSeek-R1 by setting model=deepseek-reasoner
💰 $0.14 / million input tokens (cache hit)
💰 $0.55 / million input tokens (cache miss)
💰 $2.19 / million output tokens
📖 API guide: https://api-docs.deepseek.com/guides/reasoning_model
- License
- mit
- Created
- Jan 29, 2025
- Updated
- Apr 18, 2025