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Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf and PV-Tuning: Beyond Straight-Through Estimation for Ext…
FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
Efficient reference implementations of the static & dynamic M-FAC algorithms (for pruning and optimization)
Algorithm powering the world's fastest robot to solve an UNMODIFIED Rubik's Cube.
Source code of Ballcuber : a patented, fast and innovative 4x4x4 Rubik's Cube solving machine
Rubik's cube solving robot that set a world record
Rubik's Cube solver for fully and/or partially defined cubes
The world's fastest Lego Rubik's Cube solving robot, averaging 1 second flat.
The ultimate Rubik's Cube solving algorithm for high-speed axial robots.
Code for reproducing the experiments of the ICML 2019 paper "Robust Learning from Untrusted Sources"
Use python3 to program your LEGO EV3. Communicate via Bluetooth, WiFi or USB. Send direct commands.
Rubik's Cube solving robot using 2 Lego Mindstorm EV3 kits and additional hardware
A generic rubiks cube solver
The first ever Lego robot to solve a random Rubik's Cube in under 1 second.
Rubik's Cube Solver. An optimized implementation of Kociemba's two-phase algorithm.
Solve Rubik's Cube in less than 19 moves on average with Python.