Train Dense Passage Retriever (DPR) with a single GPU
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Updated
Jun 16, 2021 - Python
Train Dense Passage Retriever (DPR) with a single GPU
Cog Single GPU Quantized Implementation of Step-Video-T2V
🚀 Achieve rapid training of NanoGPT (GPT-2 124M) on a single RTX 4090, targeting a validation loss below 3.28 with FineWeb-Edu data.
Whole slide training with single GPU
🧠 Minimal, hackable Group Relative Policy Optimization (GRPO) for LLM alignment — the algorithm behind DeepSeek-R1. Train reasoning models on a single GPU.
Production ML experiment infrastructure for single-GPU homelab — config-driven training, Unsloth fp8, torch.compile, DeepSpeed ZeRO, lm-eval with vLLM, multi-seed reporting
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