STEM-AI-mtl/Electrical-engineering
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How to use Ethencam/lora-deepseek-qwen-1.5B with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B")
model = PeftModel.from_pretrained(base_model, "Ethencam/lora-deepseek-qwen-1.5B")This lora is trained for Deepseek R1 Qwen model for providing better replies in Engineering using smaller LLMs.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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Train loss - 1.399200 Eval loss - 1.393927
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Hardware Type: 2 x Nvidia T4
Hours used: 2h
Cloud Provider: Kaggle
Compute Region: Russia
PEFT 0.14.0
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B