RLsys-Foundation / TritonForgeLinks
π₯ LLM-powered GPU kernel synthesis: Train models to convert PyTorch ops into optimized Triton kernels via SFT+RL. Multi-turn compilation feedback, cross-platform NVIDIA/AMD, Kernelbook + KernelBench
β116Updated 3 months ago
Alternatives and similar repositories for TritonForge
Users that are interested in TritonForge are comparing it to the libraries listed below
Sorting:
- β131Updated 8 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inferenceβ160Updated 3 months ago
- 16-fold memory access reduction with nearly no lossβ110Updated 10 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decodingβ141Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLMβ176Updated last year
- An efficient implementation of the NSA (Native Sparse Attention) kernelβ128Updated 7 months ago
- β221Updated 2 months ago
- Implementation for FP8/INT8 Rollout for RL training without performence drop.β289Updated 3 months ago
- [NeurIPS 2025] Scaling Speculative Decoding with Lookahead Reasoningβ63Updated 3 months ago
- [ASPLOS'26] Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafterβ131Updated 2 months ago
- Distributed MoE in a Single Kernel [NeurIPS '25]β191Updated this week
- Efficient Long-context Language Model Training by Core Attention Disaggregationβ87Updated last week
- Accelerate LLM preference tuning via prefix sharing with a single line of codeβ51Updated 7 months ago
- Official Implementation of SAM-Decoding: Speculative Decoding via Suffix Automatonβ39Updated 11 months ago
- Vortex: A Flexible and Efficient Sparse Attention Frameworkβ45Updated 3 weeks ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsityβ70Updated 7 months ago
- APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation. A system-level optimization for scalable LLM traβ¦β47Updated 4 months ago
- β118Updated 8 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>β155Updated 3 weeks ago
- Odysseus: Playground of LLM Sequence Parallelismβ79Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projectionβ155Updated 11 months ago
- β52Updated 8 months ago
- β158Updated 11 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsβ44Updated last year
- The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.β52Updated last year
- EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).β74Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inferenceβ49Updated last year
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attentionβ53Updated 6 months ago
- The evaluation framework for training-free sparse attention in LLMsβ117Updated 2 weeks ago
- β129Updated 8 months ago