The Llama 3.1 70Bmodel, with its staggering 70 billion parameters, represents a significant milestone in the advancement of AI model performance. This model’s sophisticated capabilities and potential ...

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It seems for the 8x7B model inference, one needs 2xA100 (so 2x80GB VRAM) to run this "locally". Hum. But hopefully that will reduce soon through optimisations (e.g. quantization, fine tuning) Click to ...

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OpenAI’s reinforcement fine-tuning (RFT) is set to transform how artificial intelligence (AI) models are customized for specialized tasks. Using reinforcement learning, this method improves a model’s ...