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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README.md
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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# ✅ Model Name
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MODEL_NAME = "Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2"
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# ✅ 4-bit Quantization Config
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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# ✅ Model Name
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MODEL_NAME = "Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2"
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# ✅ 4-bit Quantization Config
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