AlpinDale / RPTQ-for-LLaMALinks
Efficient 3bit/4bit quantization of LLaMA models
☆19Updated 2 years ago
Alternatives and similar repositories for RPTQ-for-LLaMA
Users that are interested in RPTQ-for-LLaMA are comparing it to the libraries listed below
Sorting:
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆41Updated 2 years ago
- Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot" with LLaMA implementation.☆71Updated 2 years ago
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆103Updated 2 years ago
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- QuIP quantization☆59Updated last year
- GPTQ inference Triton kernel☆307Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆40Updated 2 years ago
- Model REVOLVER, a human in the loop model mixing system.☆33Updated 2 years ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Train Llama Loras Easily☆31Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆380Updated last year
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆177Updated 5 months ago
- ☆150Updated 3 months ago
- PB-LLM: Partially Binarized Large Language Models☆153Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆703Updated last year
- ☆94Updated 3 weeks ago
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆124Updated 2 years ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated 11 months ago
- ☆555Updated 10 months ago
- ☆120Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆214Updated last year
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆302Updated 3 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆248Updated last year
- An unsupervised model merging algorithm for Transformers-based language models.☆107Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆425Updated last year
- Simple and fast server for GPTQ-quantized LLaMA inference☆24Updated 2 years ago
- Fast and memory-efficient exact attention☆188Updated last week
- Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…☆158Updated last year
- Merge Transformers language models by use of gradient parameters.☆208Updated last year