hahnyuan / PB-LLMLinks
PB-LLM: Partially Binarized Large Language Models
☆153Updated last year
Alternatives and similar repositories for PB-LLM
Users that are interested in PB-LLM are comparing it to the libraries listed below
Sorting:
- ☆199Updated 8 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- ☆127Updated last year
- ☆153Updated 2 years ago
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- QuIP quantization☆54Updated last year
- Work in progress.☆70Updated last month
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 9 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆376Updated last year
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆288Updated 2 months ago
- ☆143Updated last month
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆160Updated 3 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆198Updated last year
- Reorder-based post-training quantization for large language model☆193Updated 2 years ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- ☆137Updated 5 months ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆109Updated 9 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆192Updated 6 months ago
- ☆51Updated 9 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆127Updated 8 months ago
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆103Updated 2 years ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆221Updated 6 months ago
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆39Updated 3 weeks ago
- Low-bit optimizers for PyTorch☆130Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆98Updated 10 months ago
- Repo hosting codes and materials related to speeding LLMs' inference using token merging.☆36Updated 2 weeks ago
- Official PyTorch implementation of QA-LoRA☆138Updated last year
- ☆223Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆365Updated 11 months ago