apple / ml-recurrent-drafterLinks
☆215Updated 6 months ago
Alternatives and similar repositories for ml-recurrent-drafter
Users that are interested in ml-recurrent-drafter are comparing it to the libraries listed below
Sorting:
- scalable and robust tree-based speculative decoding algorithm☆351Updated 6 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆265Updated 9 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆258Updated last week
- Fast low-bit matmul kernels in Triton☆338Updated last week
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆190Updated this week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆206Updated this week
- KV cache compression for high-throughput LLM inference☆134Updated 5 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆224Updated 8 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆141Updated this week
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆198Updated this week
- Load compute kernels from the Hub☆220Updated this week
- Applied AI experiments and examples for PyTorch☆289Updated 2 months ago
- Code for data-aware compression of DeepSeek models☆40Updated last month
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆372Updated this week
- ring-attention experiments☆146Updated 9 months ago
- Efficient LLM Inference over Long Sequences☆385Updated last month
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆123Updated 8 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆138Updated 11 months ago
- ☆227Updated this week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆365Updated 11 months ago
- Triton-based implementation of Sparse Mixture of Experts.☆230Updated 8 months ago
- LLM KV cache compression made easy☆560Updated last week
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆323Updated 3 months ago
- Reverse Engineering Gemma 3n: Google's New Edge-Optimized Language Model☆230Updated 2 months ago
- [ICML 2024] CLLMs: Consistency Large Language Models☆397Updated 8 months ago
- Experiments on speculative sampling with Llama models☆128Updated 2 years ago
- ☆76Updated last month
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆244Updated 6 months ago