If open weights dry up, what are you archiving?

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With Jensen out at NVIDIA, the "local AI is dangerous" narrative picking up steam, the possible ban on Chinese models, and hosted models locking down RE/cyber work, I'm starting to think about a worst case where Chinese weights get banned and US labs stop releasing open models. So what's your plan? What models are you archiving? Just the biggest/best, or a spread? Which ones for which jobs? Coding, RE/security, vision, embeddings, RAG, small fast models for agents, etc. Training tools: if the last good big model we get is something like Kimi K3, what are you keeping so you can fine-tune or change it later? Quant tools: what do you need to shrink a huge model down to run on smaller rigs? (llama.cpp, quant scripts, calibration data, etc.) How are you storing it? Hashes, mirrors, torrents, offline drives? Curious what people are actually doing, not looking for a politics fight. (Currently using a Studio M2 192gb)   submitted by   /u/TheBigHODL [link]   [comments]