Code accompanying the paper "Massive Activations in Large Language Models"
☆205Mar 4, 2024Updated 2 years ago
Alternatives and similar repositories for massive-activations
Users that are interested in massive-activations are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆45Jun 30, 2024Updated 2 years ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆165Jul 8, 2025Updated last year
- Code for studying the super weight in LLM☆124Dec 3, 2024Updated last year
- [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?☆82Jan 22, 2025Updated last year
- ACL24☆11Jun 7, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆177Nov 26, 2025Updated 9 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆92Nov 27, 2024Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆40Sep 24, 2024Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Dec 6, 2023Updated 2 years ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆82Jul 7, 2025Updated last year
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆70Aug 15, 2025Updated last year
- ☆42Mar 28, 2024Updated 2 years ago
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆539Feb 10, 2025Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆135Sep 8, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A simple and effective LLM pruning approach.☆872Aug 9, 2024Updated 2 years ago
- ☆36Nov 16, 2025Updated 9 months ago
- Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals; ACL 2024☆13May 24, 2024Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆187Apr 24, 2026Updated 4 months ago
- ☆18Aug 19, 2024Updated 2 years ago
- [NAACL 2025 Main Selected Oral] Repository for the paper: Prompt Compression for Large Language Models: A Survey☆36May 18, 2025Updated last year
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆25Dec 4, 2024Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆49Jun 4, 2024Updated 2 years ago
- ☆25Nov 22, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [NAACL'25 🏆 SAC Award] Official code for "Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert…☆16Feb 4, 2025Updated last year
- Official implementation of "SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching" (COLM 2025). A novel KV cache com…☆15Sep 29, 2025Updated 11 months ago
- A versatile toolkit for applying Logit Lens to modern large language models (LLMs). Currently supports Llama-3.1-8B and Qwen-2.5-7B, enab…☆175Aug 14, 2025Updated last year
- Official code for "Algorithmic Capabilities of Random Transformers" (NeurIPS 2024)☆15Sep 28, 2024Updated last year
- ☆11Sep 20, 2024Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- ☆19Mar 25, 2025Updated last year
- [ICML 2026]A framework to compare low-bit integer and float-point formats☆82May 6, 2026Updated 3 months ago
- ☆41Dec 19, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆170Feb 15, 2025Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆431Nov 20, 2025Updated 9 months ago
- Forcing Diffuse Distributions out of Language Models☆18Sep 10, 2024Updated last year
- Reorder-based post-training quantization for large language model☆200May 17, 2023Updated 3 years ago
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Jul 24, 2024Updated 2 years ago
- The Official Implementation of Ada-KV [NeurIPS 2025]☆139Nov 26, 2025Updated 9 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆64Mar 30, 2024Updated 2 years ago