yuhuixu1993 / qa-lora
Official PyTorch implementation of QA-LoRA
☆117Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for qa-lora
- ☆199Updated 5 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆350Updated 8 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆372Updated last month
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆558Updated 8 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆649Updated 3 months ago
- A simple and effective LLM pruning approach.☆669Updated 3 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆305Updated 3 months ago
- Explorations into some recent techniques surrounding speculative decoding☆211Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆283Updated last week
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆307Updated 7 months ago
- PB-LLM: Partially Binarized Large Language Models☆148Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆731Updated last month
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆262Updated last year
- ☆184Updated last month
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆199Updated 6 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆254Updated 2 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆435Updated 6 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆647Updated last month
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆358Updated last month
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆370Updated 4 months ago
- ☆527Updated 10 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆438Updated 8 months ago
- Multipack distributed sampler for fast padding-free training of LLMs☆178Updated 3 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆134Updated 5 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆173Updated 4 months ago
- batched loras☆336Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆241Updated last month
- ☆122Updated 9 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆384Updated 6 months ago
- ☆247Updated last year