IST-DASLab / qmoeLinks
Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
☆279Updated 2 years ago
Alternatives and similar repositories for qmoe
Users that are interested in qmoe are comparing it to the libraries listed below
Sorting:
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆392Updated last year
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated last year
- scalable and robust tree-based speculative decoding algorithm☆365Updated 10 months ago
- ☆204Updated last year
- Official PyTorch implementation of QA-LoRA☆145Updated last year
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 10 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆711Updated last year
- Experiments on speculative sampling with Llama models☆127Updated 2 years ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆202Updated last year
- ☆574Updated last year
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated 2 weeks ago
- Multipack distributed sampler for fast padding-free training of LLMs☆202Updated last year
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆183Updated last year
- GPTQ inference Triton kernel☆317Updated 2 years ago
- ☆205Updated last week
- ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…☆226Updated 3 months ago
- Token Omission Via Attention☆128Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆243Updated 6 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆131Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆101Updated 2 years ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆389Updated last year
- ☆551Updated last year
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆94Updated this week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆395Updated last year
- [ICML 2024] CLLMs: Consistency Large Language Models☆408Updated last year
- ☆219Updated 11 months ago
- Official code for "SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient"☆148Updated 2 years ago
- For releasing code related to compression methods for transformers, accompanying our publications☆453Updated 11 months ago