huggingface / optimum-habana
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
☆153Updated this week
Related projects ⓘ
Alternatives and complementary repositories for optimum-habana
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆257Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆409Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆253Updated last month
- GPTQ inference Triton kernel☆284Updated last year
- Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note…☆57Updated 2 months ago
- Applied AI experiments and examples for PyTorch☆166Updated 3 weeks ago
- Google TPU optimizations for transformers models☆75Updated this week
- Easy and Efficient Quantization for Transformers☆180Updated 4 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆42Updated this week
- Large Language Model Text Generation Inference on Habana Gaudi☆26Updated last week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆165Updated this week
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆443Updated last week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆624Updated 2 months ago
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆89Updated this week
- Blazing fast training of 🤗 Transformers on Graphcore IPUs☆82Updated 8 months ago
- This repository contains the experimental PyTorch native float8 training UX☆211Updated 3 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆193Updated this week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆305Updated 3 months ago
- ☆111Updated 8 months ago
- Advanced Quantization Algorithm for LLMs. This is official implementation of "Optimize Weight Rounding via Signed Gradient Descent for t…☆248Updated this week
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆155Updated 2 weeks ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆208Updated 3 weeks ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆355Updated last week
- ☆191Updated this week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆146Updated 2 weeks ago
- Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.☆86Updated 3 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆187Updated this week
- The Triton backend for the ONNX Runtime.☆132Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆278Updated 4 months ago
- An innovative library for efficient LLM inference via low-bit quantization☆348Updated 2 months ago