A user on Reddit's r/LocalLLaMA subreddit is seeking advice on optimizing hardware for running large language models locally. They are currently able to run a 16 billion parameter model with Q4 quantization on a single 16GB VRAM GPU. The user is inquiring whether adding a second 16GB GPU would allow them to achieve similar performance with a 32 billion parameter model, or if potential PCIe bandwidth limitations would result in slower speeds. AI
IMPACT N/A
RANK_REASON User question about hardware configuration for LLMs.
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