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reacted to their post with šŸ”„ 2 days ago
šŸš€ 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? šŸ¤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. šŸ’»āž”ļøšŸ–„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: šŸŽ“ Educational transparency - every component built from scratch with clear code šŸ’» CPU-first approach - start training immediately, no GPU needed šŸ”§ Full customization - modify anything you want šŸ“ˆ Seamless scaling - from laptop to cluster without code changes šŸ¤ HuggingFace integration - works with existing models & tokenizers Key highlights: āœ… Built-in tokenizers (BPE, WordPiece, HF wrappers) āœ… Complete Transformer implementation from scratch āœ… Optimized for CPU training āœ… Advanced features: mixed precision, gradient checkpointing, multiple generation strategies āœ… 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! šŸ”— Check it out: https://github.com/HelpingAI/llm-trainer šŸ“š Docs: Getting Started Guide šŸ’¬ Join the community: GitHub Discussions #AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! šŸ™
reacted to their post with šŸ‘€ 2 days ago
šŸš€ 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? šŸ¤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. šŸ’»āž”ļøšŸ–„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: šŸŽ“ Educational transparency - every component built from scratch with clear code šŸ’» CPU-first approach - start training immediately, no GPU needed šŸ”§ Full customization - modify anything you want šŸ“ˆ Seamless scaling - from laptop to cluster without code changes šŸ¤ HuggingFace integration - works with existing models & tokenizers Key highlights: āœ… Built-in tokenizers (BPE, WordPiece, HF wrappers) āœ… Complete Transformer implementation from scratch āœ… Optimized for CPU training āœ… Advanced features: mixed precision, gradient checkpointing, multiple generation strategies āœ… 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! šŸ”— Check it out: https://github.com/HelpingAI/llm-trainer šŸ“š Docs: Getting Started Guide šŸ’¬ Join the community: GitHub Discussions #AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! šŸ™
reacted to their post with šŸ¤— 2 days ago
šŸš€ 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? šŸ¤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. šŸ’»āž”ļøšŸ–„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: šŸŽ“ Educational transparency - every component built from scratch with clear code šŸ’» CPU-first approach - start training immediately, no GPU needed šŸ”§ Full customization - modify anything you want šŸ“ˆ Seamless scaling - from laptop to cluster without code changes šŸ¤ HuggingFace integration - works with existing models & tokenizers Key highlights: āœ… Built-in tokenizers (BPE, WordPiece, HF wrappers) āœ… Complete Transformer implementation from scratch āœ… Optimized for CPU training āœ… Advanced features: mixed precision, gradient checkpointing, multiple generation strategies āœ… 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! šŸ”— Check it out: https://github.com/HelpingAI/llm-trainer šŸ“š Docs: Getting Started Guide šŸ’¬ Join the community: GitHub Discussions #AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! šŸ™
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