Alternatives and similar repositories for llama2.so

Users that are interested in llama2.so are comparing it to the libraries listed below

• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆267Updated 2 months ago
• lianakoleva / no-libtorch-compile
  ☆21Updated 11 months ago
• mlc-ai / llm-perf-bench
  ☆120Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆315Updated 5 months ago
• IST-DASLab / Quartet
  ☆118Updated last month
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆427Updated last week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆219Updated last week
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆26Updated 6 months ago
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 10 months ago
• apple / ml-recurrent-drafter
  ☆219Updated last year
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• vllm-project / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆238Updated this week
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆95Updated 10 months ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆68Updated last week
• huggingface / optimum-tpu
  Google TPU optimizations for transformers models
  ☆134Updated 2 weeks ago
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆194Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆165Updated last year
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆215Updated last week
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆324Updated this week
• SzymonOzog / Penny
  Hand-Rolled GPU communications library
  ☆82Updated 2 months ago
• GreenBitAI / low_bit_llama
  Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs
  ☆110Updated 2 years ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆292Updated 5 months ago
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆153Updated last year
• AI-Hypercomputer / jetstream-pytorch
  PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
  ☆79Updated last month
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆140Updated 3 weeks ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆131Updated last year
• vllm-project / dashboard
  vLLM performance dashboard
  ☆41Updated last year
• Deep-Learning-Profiling-Tools / triton-viz
  ☆286Updated this week
• IST-DASLab / QIGen
  Repository for CPU Kernel Generation for LLM Inference
  ☆27Updated 2 years ago