Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
☆203Jul 17, 2024Updated last year
Alternatives and similar repositories for Q-GaLore
Users that are interested in Q-GaLore are comparing it to the libraries listed below
Sorting:
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,678Oct 28, 2024Updated last year
- [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications☆52Oct 30, 2025Updated 4 months ago
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆156Apr 7, 2025Updated 11 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆328Nov 26, 2025Updated 3 months ago
- GRadient-INformed MoE☆264Sep 25, 2024Updated last year
- [TMLR 2025] When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models☆125Feb 15, 2026Updated 2 weeks ago
- An extention to the GaLore paper, to perform Natural Gradient Descent in low rank subspace☆18Oct 21, 2024Updated last year
- MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning☆361Aug 7, 2024Updated last year
- ☆29Nov 9, 2025Updated 3 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆360Feb 5, 2026Updated last month
- Yet another frontend for LLM, written using .NET and WinUI 3☆10Sep 14, 2025Updated 5 months ago
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793☆453May 13, 2025Updated 9 months ago
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆675Apr 25, 2025Updated 10 months ago
- The repository contains code for Adaptive Data Optimization☆32Dec 9, 2024Updated last year
- ☆34Mar 12, 2025Updated 11 months ago
- ☆21Jul 21, 2025Updated 7 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆817Mar 6, 2025Updated last year
- ☆165Jun 22, 2025Updated 8 months ago
- PyTorch implementation of models from the Zamba2 series.☆187Jan 23, 2025Updated last year
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆952Nov 16, 2025Updated 3 months ago
- ☆130Oct 1, 2024Updated last year
- 🎯An accuracy-first, highly efficient quantization toolkit for LLMs, designed to minimize quality degradation across Weight-Only Quantiza…☆868Updated this week
- Resa: Transparent Reasoning Models via SAEs☆47Sep 23, 2025Updated 5 months ago
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆102Jun 20, 2025Updated 8 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆149Oct 27, 2024Updated last year
- ☆91Aug 18, 2024Updated last year
- [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems☆125Jun 11, 2025Updated 8 months ago
- ☆35Feb 10, 2025Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆163Apr 13, 2025Updated 10 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆946Feb 16, 2025Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆94Nov 17, 2024Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆514May 20, 2024Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Nov 3, 2023Updated 2 years ago
- EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…☆252Oct 30, 2024Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆455Jan 16, 2025Updated last year
- ☆16Jul 23, 2024Updated last year
- [COLM 2025] "C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing"☆20Apr 9, 2025Updated 10 months ago
- The code for "MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking"☆19Jan 25, 2025Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆368Nov 6, 2025Updated 4 months ago