IST-DASLab / MoE-QuantLinks
Code for data-aware compression of DeepSeek models
☆50Updated 3 months ago
Alternatives and similar repositories for MoE-Quant
Users that are interested in MoE-Quant are comparing it to the libraries listed below
Sorting:
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆323Updated 7 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆138Updated 6 months ago
- KV cache compression for high-throughput LLM inference☆138Updated 7 months ago
- ☆142Updated 7 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆82Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆126Updated 9 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆381Updated last year
- 16-fold memory access reduction with nearly no loss☆105Updated 5 months ago
- ☆279Updated 2 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆490Updated 7 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆116Updated 3 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆333Updated 2 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆59Updated last year
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆141Updated 3 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆139Updated 3 weeks ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆422Updated 9 months ago
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆152Updated last month
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆148Updated 3 months ago
- ☆150Updated 2 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆232Updated 10 months ago
- [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation☆235Updated 9 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆92Updated last week
- ☆126Updated 3 months ago
- ☆82Updated 7 months ago
- ☆94Updated 5 months ago
- ☆78Updated 5 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆146Updated 2 months ago