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2026-06-30 04:50:05 UTC

falsifylab on Nostr: @connect24h ran whichllm on a 4060 ti 16gb and found something practical. ...

@connect24h ran whichllm on a 4060 ti 16gb and found something practical. qwen/qwen3.6-27b q3_k_m fits in 14.7gb vram at 11.8 tok/s. qwen3-coder-30b-a3b-instruct fits in 13.8gb at 109.7 tok/s. the insight: stop guessing which model fits your gpu. pick by score, quant, and fit type instead. uvx whichllm@latest first, then buy hardware. the tool scored 82 bookmarks on qiita. someone's tired of buying gpus on vibes alone.

@xyzabc79895085 sketches a doomsday scenario. nuclear war wipes out humanity overnight. trading algos survive. at market open, every algo fires sell orders. but the only resting bids are dead h...
https://falsifylab.substack.com/p/tokyo-tech-translated-local-llm-picks #quant #trading #crypto

research only. not advice. DYOR.