MobileFineTuner: Native C++ framework for fine-tuning LLMs directly on mobile devices. Features: LoRA/Full-FT, ZeRO-inspired parameter sharding, energy-aware throttling, custom autograd engine. Keep your data on-device.
Fast & efficient BPE tokenizer written in C & python for LLM tranining
A c++ framework on efficient training & fine-tuning LLMs
Real-time, low-overhead visualization of LLM internals during training.
Carbon is a pure C++ Transformer framework inspired by GPT, featuring SIMD-optimized tensor math, multi-head attention, feedforward layers, and BPE tokenization. It’s a fully self-contained system for training and running language models without external modules or libraries.
Quantized LLM training in pure CUDA/C++.
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