Vahe1994 / SpQRLinks
☆543Updated 6 months ago
Alternatives and similar repositories for SpQR
Users that are interested in SpQR are comparing it to the libraries listed below
Sorting:
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆692Updated 10 months ago
- Official PyTorch implementation of QA-LoRA☆137Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆371Updated last year
- ☆541Updated 7 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆809Updated 10 months ago
- GPTQ inference Triton kernel☆302Updated 2 years ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆431Updated 5 months ago
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆423Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆845Updated 9 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆819Updated last month
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,128Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,258Updated 3 months ago
- Official repository for LongChat and LongEval☆520Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆617Updated last year
- A simple and effective LLM pruning approach.☆760Updated 10 months ago
- Fast Inference Solutions for BLOOM☆564Updated 8 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆698Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,066Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆827Updated last week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆358Updated 10 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆456Updated last year
- Finetuning Large Language Models on One Consumer GPU in 2 Bits☆724Updated last year
- Microsoft Automatic Mixed Precision Library☆609Updated 8 months ago
- Reorder-based post-training quantization for large language model☆191Updated 2 years ago
- LOMO: LOw-Memory Optimization☆987Updated 11 months ago
- batched loras☆343Updated last year
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,113Updated last year