XiongjieDai / GPU-Benchmarks-on-LLM-InferenceLinks
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
☆1,764Updated last year
Alternatives and similar repositories for GPU-Benchmarks-on-LLM-Inference
Users that are interested in GPU-Benchmarks-on-LLM-Inference are comparing it to the libraries listed below
Sorting:
- Large-scale LLM inference engine☆1,543Updated this week
- A fast inference library for running LLMs locally on modern consumer-class GPUs☆4,309Updated 3 weeks ago
- Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.☆2,605Updated this week
- Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization☆1,353Updated 9 months ago
- llama.cpp fork with additional SOTA quants and improved performance☆1,165Updated this week
- The official API server for Exllama. OAI compatible, lightweight, and fast.☆1,047Updated 2 weeks ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,919Updated this week
- Model swapping for llama.cpp (or any local OpenAI API compatible server)☆1,499Updated this week
- This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?☆1,283Updated last month
- Pure C++ implementation of several models for real-time chatting on your computer (CPU & GPU)☆696Updated this week
- NVIDIA Linux open GPU with P2P support☆1,243Updated 3 months ago
- Enforce the output format (JSON Schema, Regex etc) of a language model☆1,905Updated 3 weeks ago
- Optimizing inference proxy for LLMs☆2,863Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,247Updated 4 months ago
- Create Custom LLMs☆1,730Updated 3 weeks ago
- MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.☆1,618Updated last week
- An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs☆491Updated last week
- The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM …☆589Updated 6 months ago
- ☆1,071Updated last year
- LM Studio Apple MLX engine☆771Updated last week
- Official implementation of Half-Quadratic Quantization (HQQ)☆879Updated last week
- Review/Check GGUF files and estimate the memory usage and maximum tokens per second.☆205Updated 3 weeks ago
- Benchmark llm performance☆104Updated last year
- Implements harmful/harmless refusal removal using pure HF Transformers☆1,122Updated last year
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆3,417Updated 3 months ago
- A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.☆2,898Updated last year
- LLMPerf is a library for validating and benchmarking LLMs☆1,001Updated 9 months ago
- LLM model quantization (compression) toolkit with hw acceleration support for Nvidia CUDA, AMD ROCm, Intel XPU and Intel/AMD/Apple CPU vi…☆778Updated this week
- Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali