Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]
☆90Sep 13, 2024Updated last year
Alternatives and similar repositories for shortened-llm
Users that are interested in shortened-llm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A 28× Compressed Wav2Lip for Efficient Talking Face Generation [ICCV'23 Demo] [MLSys'23 Workshop] [NVIDIA GTC'23]☆60Mar 8, 2024Updated 2 years ago
- The official NetsPresso Python package.☆47Nov 20, 2025Updated 6 months ago
- A library for training, compressing and deploying computer vision models (including ViT) with edge devices☆74Sep 29, 2025Updated 7 months ago
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆316Jul 6, 2024Updated last year
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆41Feb 4, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Structured Neuron Level Pruning to compress Transformer-based models [ECCV'24]☆16Aug 7, 2024Updated last year
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Jul 24, 2024Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated 2 years ago
- ☆30Jul 22, 2024Updated last year
- Code Implementation for "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP …☆17Oct 17, 2023Updated 2 years ago
- ☆19Jan 3, 2025Updated last year
- Official implementation for the paper "Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy".☆11Jun 8, 2023Updated 2 years ago
- Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)☆13Apr 13, 2026Updated last month
- Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML 2024)☆31Apr 13, 2026Updated last month
- 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.
- Prune transformer layers☆74May 30, 2024Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆379Nov 6, 2025Updated 6 months ago
- ☆12Oct 9, 2023Updated 2 years ago
- Awesome list for LLM pruning.☆294Oct 11, 2025Updated 7 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆43Aug 14, 2024Updated last year
- SMART introduces a novel test-time framework where Small Language Models (SLMs) reason step-by-step, and Large Language Models (LLMs) pro…☆12Jul 9, 2025Updated 10 months ago
- Official PyTorch implementation of QwT—“Quantization without Tears” (CVPR 2025): fast, accurate, and hassle-free post-training network qu…☆32Sep 30, 2025Updated 7 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,126Oct 7, 2024Updated last year
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆21Feb 16, 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.
- ☆23Nov 26, 2024Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆70Mar 7, 2024Updated 2 years ago
- A block pruning framework for LLMs.☆28May 17, 2025Updated last year
- Text Clustering as Classification with LLMs☆18Oct 2, 2025Updated 7 months ago
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆45Jun 30, 2024Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆462Jan 16, 2025Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆47Jun 4, 2024Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆123Mar 6, 2024Updated 2 years ago
- An implementation of LazyLLM token pruning for LLaMa 2 model family.☆13Jan 6, 2025Updated last year
- 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.
- ☆25Oct 31, 2024Updated last year
- [ICML 2025] Official implementation of the paper "SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling". …☆22Nov 17, 2025Updated 6 months ago
- [NeurIPS 2024] Search for Efficient LLMs☆17Jan 16, 2025Updated last year
- ☆16Dec 9, 2023Updated 2 years ago
- [ACL Findings 2026] Official Implementation of "FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acc…☆31Apr 14, 2026Updated last month
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆43Jan 15, 2024Updated 2 years ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆37Aug 14, 2024Updated last year