AlpinDale / QuIP-for-LlamaLinks
Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models
☆41Updated 2 years ago
Alternatives and similar repositories for QuIP-for-Llama
Users that are interested in QuIP-for-Llama are comparing it to the libraries listed below
Sorting:
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆394Updated last year
- QuIP quantization☆61Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Updated 2 years ago
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated 2 years ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- ☆163Updated 7 months ago
- Reorder-based post-training quantization for large language model☆198Updated 2 years ago
- ☆120Updated last year
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Updated 10 months ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated last year
- ☆54Updated last year
- ☆576Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆101Updated 2 years ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated 2 years ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year
- GPTQ inference Triton kernel☆322Updated 2 years ago
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆42Updated 2 years ago
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆50Updated 6 months ago
- scalable and robust tree-based speculative decoding algorithm☆366Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- RWKV-7: Surpassing GPT☆104Updated last year
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆326Updated 2 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆260Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆93Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated last month
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆184Updated last year
- Official implementation for Training LLMs with MXFP4☆118Updated 9 months ago
- ☆204Updated last year
- Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot" with LLaMA implementation.☆71Updated 2 years ago
- Repository for CPU Kernel Generation for LLM Inference☆27Updated 2 years ago