Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
☆45Jan 15, 2024Updated 2 years ago
Alternatives and similar repositories for SparseFinetuning
Users that are interested in SparseFinetuning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Boosting 4-bit inference kernels with 2:4 Sparsity☆101Sep 4, 2024Updated 2 years ago
- Algorithm-System Co-design: accurate and efficient 2-bit KV cache quantization for LLM Inference.☆23May 20, 2026Updated 5 months ago
- PB-LLM: Partially Binarized Large Language Models☆159Nov 20, 2023Updated 2 years ago
- ☆10Jun 19, 2025Updated last year
- ☆363Apr 2, 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.
- fork of karparthy's nanogpt with custom datasets☆11Jul 25, 2023Updated 3 years ago
- GPU operators for sparse tensor operations☆37Mar 11, 2024Updated 2 years ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆279Nov 3, 2023Updated 2 years ago
- Official implementation for "Pruning Large Language Models with Semi-Structural Adaptive Sparse Training" (AAAI 2025)☆20Jul 1, 2025Updated last year
- ☆26Nov 23, 2023Updated 2 years ago
- ☆16Nov 24, 2025Updated 11 months ago
- ☆16Dec 9, 2023Updated 2 years ago
- ☆12Jul 30, 2025Updated last year
- Reorder-based post-training quantization for large language model☆201May 17, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆17Jul 18, 2024Updated 2 years ago
- ☆30Jul 22, 2024Updated 2 years ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated 2 years ago
- The official code for "Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation" | [MM2…☆14Dec 7, 2024Updated last year
- ☆129Jan 22, 2024Updated 2 years ago
- The evaluation framework for training-free sparse attention in LLMs☆134Jan 27, 2026Updated 9 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆902Aug 20, 2024Updated 2 years ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated last year
- This repository contains code for the MicroAdam paper.☆21Dec 14, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Suri: Multi-constraint instruction following for long-form text generation [EMNLP’24]☆27Oct 3, 2025Updated last year
- Fork of Flame repo for training of some new stuff in development☆20Aug 27, 2026Updated 2 months ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- A family of efficient edge language models in 100M~1B sizes.☆20Feb 14, 2025Updated last year
- An implementation of the base GPT-3 Model architecture from the paper by OPENAI "Language Models are Few-Shot Learners"☆22Jun 29, 2024Updated 2 years ago
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆185Apr 16, 2024Updated 2 years ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Jun 12, 2024Updated 2 years ago
- ☆158Jun 22, 2023Updated 3 years ago
- Repository for CPU Kernel Generation for LLM Inference☆28Jul 13, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆11Feb 5, 2026Updated 8 months ago
- ☆64Jul 21, 2024Updated 2 years ago
- new optimizer☆20Aug 4, 2024Updated 2 years ago
- Official repository of Sparse ISO-FLOP Transformations for Maximizing Training Efficiency☆25Jul 31, 2024Updated 2 years ago
- Targeted Data Generation with Large Language Models☆19Jun 25, 2024Updated 2 years ago
- A simple library for working with Hugging Face models.☆14Dec 30, 2024Updated last year
- ☆19Nov 6, 2023Updated 2 years ago