GoonTraining DeepSeek R1 Like Models for Free with Google Colab and Unsloth
Training models like DeepSeek R1 can be a costly endeavor, but what if you could do it for free? With Google Colab and Unsloth, you can train your own DeepSeek R1 like models without spending a dime.
Introduction to DeepSeek R1
DeepSeek R1 is a model that can reason and perform tasks in a similar way to humans. It was trained using a reinforcement learning technique called GrPO, which rewards the model for generating correct answers and penalizes it for incorrect ones.
Introduction to DeepSeek R1 model
Training with Unsloth
Unsloth is a fine-tuning framework that allows you to train models like DeepSeek R1. They have shared a blog post and a Colab notebook that show how to train any model in a similar way to DeepSeek R1.
Unsloth framework for fine-tuning models
How GrPO Works
GrPO is a type of reinforcement learning that uses a group of models to learn from each other. Each model generates an answer and is rewarded or penalized based on its correctness. The models can then learn from each other's scores and improve their performance.
GrPO reinforcement learning technique
Training with Google Colab
Google Colab is a free platform that allows you to train models like DeepSeek R1. Unsloth has shared a Colab notebook that shows how to train any model using their framework.
Google Colab notebook for training models
Benefits of Using Unsloth
Unsloth has made it possible to train models like DeepSeek R1 with 80% less VRAM than other frameworks. They have also achieved 20x more throughput and 50% VRAM savings.
Benefits of using Unsloth for training models
Training with Other Models
Unsloth has shared notebooks for training other models like Quin 2.51 5B and LLaMA 3.18B. You can also train your own models using their framework.
Training with other models using Unsloth
Using Lightning AI
You can also use Lightning AI to train your models. It is a platform that allows you to train models with ease and has a user-friendly interface.
Using Lightning AI for training models
Running the Notebook
To train your own model, you can simply open the notebook and run it. You will need to connect your GPU and then hit the "Run all" button.
Running the notebook to train your model
Outputs and Results
After running the notebook, you will get the outputs and results of the training process. You can then use your trained model for inference and other tasks.
Outputs and results of the training process
Conclusion
Training models like DeepSeek R1 can be a costly endeavor, but with Google Colab and Unsloth, you can do it for free. Unsloth has made it possible to train models with 80% less VRAM than other frameworks and has achieved 20x more throughput and 50% VRAM savings.
Conclusion of training models with Unsloth
Future Possibilities
The possibilities are endless when it comes to training models like DeepSeek R1. You can train your own models using Unsloth and Google Colab, and even use Lightning AI for ease of use.
Future possibilities of training models
Final Thoughts
Training models like DeepSeek R1 can be a fun and rewarding experience. With the right tools and resources, you can train your own models and achieve great results.
