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PICOTRON
Educational 4D-parallel trainer for Llama-like models
Apache-2.0
ABOUT
Production distributed trainers hide data, tensor, pipeline, and context parallel details behind thousands of lines, so students cannot see how 4D parallelism actually works. picotron keeps each parallel mode in a short file so you can pre-train a Llama-like model and read the whole stack.
INTEGRATION GUIDE
1. Teach 4D parallelism by reading picotron's data, tensor, pipeline, and context modules
2. Pre-train a SmolLM or Llama-2 replica with torchrun on 8 GPUs
3. Experiment with 1F1B pipeline engines without Megatron complexity
4. Follow the Picotron tutorial videos while hacking train.py under 300 lines
TAGS
pythonpytorchdistributed-trainingllamahuggingfaceeducational