Post
3111
š Ever dreamed of training your own Large Language Model from scratch? What if I told you it doesn't require a supercomputer or PhD in ML? š¤Æ
Introducing LLM Trainer - the educational framework that makes LLM training accessible to EVERYONE! Whether you're on a CPU-only laptop or scaling to distributed GPUs, we've got you covered. š»ā”ļøš„ļø
Why LLM Trainer? Because existing tools are either too simplistic (hiding the magic) or too complex (requiring expert knowledge). We bridge the gap with:
š Educational transparency - every component built from scratch with clear code
š» CPU-first approach - start training immediately, no GPU needed
š§ Full customization - modify anything you want
š Seamless scaling - from laptop to cluster without code changes
š¤ HuggingFace integration - works with existing models & tokenizers
Key highlights:
ā Built-in tokenizers (BPE, WordPiece, HF wrappers)
ā Complete Transformer implementation from scratch
ā Optimized for CPU training
ā Advanced features: mixed precision, gradient checkpointing, multiple generation strategies
ā Comprehensive monitoring & metrics
Perfect for:
- Students learning transformers
- Researchers prototyping new ideas
- Developers building domain-specific models
Ready to train your first LLM? It's easier than you think!
š Check it out: https://github.com/HelpingAI/llm-trainer
š Docs: Getting Started Guide
š¬ Join the community: GitHub Discussions
#AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP
Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! š
Introducing LLM Trainer - the educational framework that makes LLM training accessible to EVERYONE! Whether you're on a CPU-only laptop or scaling to distributed GPUs, we've got you covered. š»ā”ļøš„ļø
Why LLM Trainer? Because existing tools are either too simplistic (hiding the magic) or too complex (requiring expert knowledge). We bridge the gap with:
š Educational transparency - every component built from scratch with clear code
š» CPU-first approach - start training immediately, no GPU needed
š§ Full customization - modify anything you want
š Seamless scaling - from laptop to cluster without code changes
š¤ HuggingFace integration - works with existing models & tokenizers
Key highlights:
ā Built-in tokenizers (BPE, WordPiece, HF wrappers)
ā Complete Transformer implementation from scratch
ā Optimized for CPU training
ā Advanced features: mixed precision, gradient checkpointing, multiple generation strategies
ā Comprehensive monitoring & metrics
Perfect for:
- Students learning transformers
- Researchers prototyping new ideas
- Developers building domain-specific models
Ready to train your first LLM? It's easier than you think!
š Check it out: https://github.com/HelpingAI/llm-trainer
š Docs: Getting Started Guide
š¬ Join the community: GitHub Discussions
#AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP
Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! š