yuhuixu1993 / qa-loraLinks
Official PyTorch implementation of QA-LoRA
☆137Updated 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:
- ☆223Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆617Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆431Updated 5 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆370Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆692Updated 10 months ago
- A simple and effective LLM pruning approach.☆763Updated 10 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆300Updated 3 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆343Updated 7 months ago
- Explorations into some recent techniques surrounding speculative decoding☆269Updated 6 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆456Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆359Updated 10 months ago
- ☆198Updated 6 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆238Updated last year
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆221Updated 3 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated 11 months ago
- ☆541Updated 7 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆810Updated 10 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆395Updated 6 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆207Updated last year
- PB-LLM: Partially Binarized Large Language Models☆152Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆303Updated 5 months ago
- ☆151Updated 2 years ago
- ☆126Updated last year
- ☆264Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆189Updated 5 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆819Updated last month
- ☆543Updated 6 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆311Updated last month