DynamicTune – Closed-form trajectory weight surgery from 4B into 0.8B
DynamicTune: Cross-model hidden trajectory transport and direct MLP weight surgery across dimensions (Qwen3.5 4B -> 0.8B on 8GB RX 580) - dsadawq3/DynamicTune
DynamicTune – Closed-form trajectory weight surgery from 4B into 0.8B launched on October 2, 2026 with 2 votes, #82 of 279 launches that month.
Does a similar job
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Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput2025 · github.com · ▲123Contribute to Mega4alik/ollm development by creating an account on GitHub.

Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/sSep 2026 · github.com · ▲240I built slotstream, a way to run Qwen3.8-Flash-Next 4-bit on a low-memory mac starting from 16GB, a 125B parameter model that would need 100GB+ memory/RAM, thanks to expert-offloading/ssd-streaming. Easy to install/update, and mac-native using MLX and Swift. It ships with auto-mode, which makes a good tradeoff between memory usage and speed. I'll be implementing and porting the MTP module for speculative decoding next Local models really are the future of computing!
Browser-based interactive 3D Three-Body problem simulatorNov 2025 · trisolarchaos.com · ▲249Features include: - Several preset periodic orbits: the classic Figure-8, plus newly discovered 3D solutions from Li and Liao's recent database of 10,000+ orbits (https://arxiv.org/html/2508.08568v1) - Full 3D camera controls (rotate/pan/zoom) with body-following mode - Force and velocity vector visualization - Timeline scrubbing to explore the full orbital period The 3D presets are particularly interesting. Try "O₂(1.2)" or "Piano O₆(0.6)" from the Load Presets menu to see configurations where bodies weave in and out of the orbital plane. Most browser…
Fine-tune an 8B model on a 4 GB laptop GPUAug 2026 · github.com · ▲139Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. - MakazhanAlpamys/Soup
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