Instructions to use Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-14B") model = PeftModel.from_pretrained(base_model, "Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2") - Notebooks
- Google Colab
- Kaggle
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Fine-tune on more structured reasoning datasets
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Optimize quantization strategies for better inference efficiency
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This evaluation provides a solid foundation for future refinements and improved mathematical reasoning capabilities in next iterations.
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## How to Use
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```python
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Fine-tune on more structured reasoning datasets
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Optimize quantization strategies for better inference efficiency
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This evaluation provides a solid foundation for future refinements and improved mathematical reasoning capabilities in next iterations.
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## How to Use
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```python
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