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Would lower the hardware bar for training large models on consumer gaming GPUs.
A developer released code and a paper for training a 27B model on a single 24GB RTX 3090, requiring hundreds of billions of tokens for good quality, alongside converted model repos and a 40.4GB Qwen GGUF.