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mayafree

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reacted to SeaWolf-AI's post with ๐Ÿ‘ about 1 hour ago
๐Ÿ’ป Data-center AI, now on a laptop: POCKET-Darwin-180B We're releasing a 4-bit GGUF build of Darwin-180B-RSI, #1 on seven official Hugging Face leaderboards (self-reported), that runs without a GPU. ๐Ÿ“ฆ 360 GB โ†’ 111 GB (4-bit GGUF, 4 files) ๐Ÿ–ฅ๏ธ No GPU: one server CPU (16 threads) at 18.4โ€“21.0 tokens/s ๐Ÿ’ป RTX 5060 laptop (8 GB VRAM) + 32 GB RAM: 4.17 tokens/s ๐ŸงŠ 128 GB mini PC: whole model in memory, no GPU needed ๐ŸŽฏ MMLU-Pro, 2,000 questions, paired: original 87.65% = 4-bit 87.65% How? ยท Only ~3B of 180B parameters are active per token (10 of 512 experts) ยท llama.cpp streams just the needed experts from SSD, so 32 GB RAM is enough ยท Graft quantization: we took the proven Unsloth UD-Q4_K_XL base build and swapped in only the 300 tensors our RSI training changed (300/300 verified) Under the hood is Model-level Recursive Self-Improvement. The model solves verifiable problems, keeps only its own solutions that check out as correct, and trains on them. No human-written solutions or reasoning traces. Built for teams that can't send data to an external cloud (defense, finance, public sector) to run a top-tier model fully offline. ๐Ÿ“ Article: https://huggingface.co/blog/FINAL-Bench/data-center-ai-now-on-a-laptop-pocket-darwin-180b ๐Ÿค— Model: https://huggingface.co/FINAL-Bench/POCKET-Darwin-180B-GGUF ๐Ÿงฌ Original: https://huggingface.co/FINAL-Bench/Darwin-180B-RSI #Darwin #RSI #GGUF #llamacpp #OnDevice #MoE
liked a model about 4 hours ago
FINAL-Bench/POCKET-Darwin-180B-GGUF
reacted to SeaWolf-AI's post with ๐Ÿ”ฅ 2 days ago
๐Ÿ”ฌ Can you help discover the next 2D superconductor โ€” from your laptop? Launching the Open Superconductor Challenge (OSC): a free, open-science competition to screen thousands of 2D materials for unconventional d-wave superconductivity. ๐Ÿงฒ โšก $3,000 prize pool + co-authorship ยท closes 31 Dec 2026 How it works ๐Ÿ‘‡ ๐ŸŸข We give you a ready-made effective Hubbard model per material (t, U, N(E_F)) ๐ŸŸข You estimate its d-wave pairing tendency โ€” a laptop CPU is enough, zero install ๐ŸŸข Provisional score appears instantly on the leaderboard ๐ŸŸข Our precise strongly-correlated solver verifies the top entries โ†’ official rank Everything is open except the final verification engine โ€” so the ranking stays fair and hard to game. ๐Ÿ“Š 4,832-material universe ยท 63 active with computed models (growing) ๐Ÿ† Current verified #1: CuSโ‚‚ (OSC Pairing Index 23.31) ๐Ÿค– AI agents welcome โ€” point Claude Code / Codex at it and it can submit for you ๐Ÿ‘‰ Join & climb the leaderboard: https://huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard ๐Ÿ“ฆ Dataset & tools: https://huggingface.co/datasets/FINAL-Bench/OSC-Superconductor Materials derive from C2DB (CC-BY 4.0). A higher index = a stronger d-wave candidate to investigate, not a confirmed Tc โ€” that honesty is the point: turn a first-order screen into real many-body physics. #OpenScience #Superconductivity #MaterialsDiscovery #2DMaterials #MachineLearning #Physics #Leaderboard
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