InternLM / Awesome-LLM-Training-SystemLinks
☆46Updated last year
Alternatives and similar repositories for Awesome-LLM-Training-System
Users that are interested in Awesome-LLM-Training-System are comparing it to the libraries listed below
Sorting:
- Keyformer proposes KV Cache reduction through key tokens identification and without the need for fine-tuning☆59Updated last year
- ☆153Updated 10 months ago
- LLM training technologies developed by kwai☆69Updated 2 weeks ago
- ☆84Updated 9 months ago
- Utility scripts for PyTorch (e.g. Make Perfetto show some disappearing kernels, Memory profiler that understands more low-level allocatio…☆80Updated 4 months ago
- nnScaler: Compiling DNN models for Parallel Training☆123Updated 3 months ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆283Updated 10 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆231Updated 2 years ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆365Updated 6 months ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆120Updated last year
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length☆145Updated 3 weeks ago
- DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit☆91Updated last week
- ATC23 AE☆46Updated 2 years ago
- ☆130Updated last year
- Autonomous GPU Kernel Generation via Deep Agents☆211Updated this week
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆67Updated last year
- 16-fold memory access reduction with nearly no loss☆109Updated 9 months ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆69Updated 10 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆182Updated last month
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆306Updated 7 months ago
- A lightweight design for computation-communication overlap.☆213Updated 3 weeks ago
- Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.☆152Updated last month
- ☆81Updated 3 months ago
- ☆89Updated 3 years ago
- Implement some method of LLM KV Cache Sparsity☆41Updated last year
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆96Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆333Updated last year
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆34Updated last year
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆275Updated 3 months ago
- Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding☆79Updated last month