yuhuixu1993 / qa-loraLinks
Official PyTorch implementation of QA-LoRA
☆145Updated last year
Alternatives and similar repositories for qa-lora
Users that are interested in qa-lora are comparing it to the libraries listed below
Sorting:
- ☆235Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆455Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆395Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆364Updated 2 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆639Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆713Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆473Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆390Updated last year
- A simple and effective LLM pruning approach.☆846Updated last year
- ☆203Updated last year
- Explorations into some recent techniques surrounding speculative decoding☆299Updated last year
- ☆552Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Updated 11 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Updated 2 years ago
- ☆128Updated 2 years ago
- Simple implementation of Speculative Sampling in NumPy for GPT-2.☆99Updated 2 years ago
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆250Updated 10 months ago
- ☆576Updated last year
- Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind☆106Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆865Updated last year
- Multipack distributed sampler for fast padding-free training of LLMs☆204Updated last year
- Low-bit optimizers for PyTorch☆138Updated 2 years ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆260Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆176Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆402Updated last year
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆205Updated last year
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Updated 2 years ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆198Updated last year
- ☆157Updated 2 years ago