Post
3250
π 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? π€―
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. π»β‘οΈπ₯οΈ
Why LLM Trainer? Because existing tools are either too simplistic (hiding the magic) or too complex (requiring expert knowledge). We bridge the gap with:
π Educational transparency - every component built from scratch with clear code
π» CPU-first approach - start training immediately, no GPU needed
π§ Full customization - modify anything you want
π Seamless scaling - from laptop to cluster without code changes
π€ HuggingFace integration - works with existing models & tokenizers
Key highlights:
β Built-in tokenizers (BPE, WordPiece, HF wrappers)
β Complete Transformer implementation from scratch
β Optimized for CPU training
β Advanced features: mixed precision, gradient checkpointing, multiple generation strategies
β 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!
π Check it out: https://github.com/HelpingAI/llm-trainer
π Docs: Getting Started Guide
π¬ Join the community: GitHub Discussions
#AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP
Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! π
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. π»β‘οΈπ₯οΈ
Why LLM Trainer? Because existing tools are either too simplistic (hiding the magic) or too complex (requiring expert knowledge). We bridge the gap with:
π Educational transparency - every component built from scratch with clear code
π» CPU-first approach - start training immediately, no GPU needed
π§ Full customization - modify anything you want
π Seamless scaling - from laptop to cluster without code changes
π€ HuggingFace integration - works with existing models & tokenizers
Key highlights:
β Built-in tokenizers (BPE, WordPiece, HF wrappers)
β Complete Transformer implementation from scratch
β Optimized for CPU training
β Advanced features: mixed precision, gradient checkpointing, multiple generation strategies
β 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!
π Check it out: https://github.com/HelpingAI/llm-trainer
π Docs: Getting Started Guide
π¬ Join the community: GitHub Discussions
#AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP
Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! π
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