yuhuixu1993 / qa-loraLinks
Official PyTorch implementation of QA-LoRA
☆138Updated 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:
- ☆225Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆440Updated 7 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆377Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆701Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆630Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆348Updated 9 months ago
- A simple and effective LLM pruning approach.☆789Updated last year
- ☆201Updated 8 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆461Updated last year
- Explorations into some recent techniques surrounding speculative decoding☆282Updated 8 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆243Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆307Updated 5 months ago
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆227Updated 5 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆372Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆169Updated last year
- ☆127Updated last year
- Simple implementation of Speculative Sampling in NumPy for GPT-2.☆95Updated 2 years ago
- ☆546Updated 8 months ago
- Multipack distributed sampler for fast padding-free training of LLMs☆199Updated last year
- PB-LLM: Partially Binarized Large Language Models☆153Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆435Updated 10 months ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆206Updated last year
- ☆269Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆739Updated 10 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆825Updated last year
- ☆154Updated 2 years ago
- ☆552Updated 9 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆199Updated last year