Vahe1994 / SpQR
☆527Updated this week
Related projects ⓘ
Alternatives and complementary repositories for SpQR
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆649Updated 3 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆722Updated 3 months ago
- Official PyTorch implementation of QA-LoRA☆117Updated 8 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆350Updated 8 months ago
- ☆505Updated 3 weeks ago
- Official repository for LongChat and LongEval☆512Updated 5 months ago
- GPTQ inference Triton kernel☆284Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆373Updated last month
- batched loras☆336Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,150Updated last month
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆559Updated 8 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆262Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆627Updated 2 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆730Updated last month
- A simple and effective LLM pruning approach.☆672Updated 3 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆1,945Updated 7 months ago
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆416Updated 11 months ago
- Serving multiple LoRA finetuned LLM as one☆986Updated 6 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆876Updated last month
- Transformers with Arbitrarily Large Context☆642Updated 3 months ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆615Updated 5 months ago
- Fast Inference Solutions for BLOOM☆560Updated last month
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆677Updated 7 months ago
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆827Updated this week
- Microsoft Automatic Mixed Precision Library☆525Updated last month
- LOMO: LOw-Memory Optimization☆979Updated 4 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆648Updated last month
- distributed trainer for LLMs☆545Updated 6 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆435Updated 7 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆371Updated 4 months ago