mani-kantap / llm-inference-solutionsLinks
A collection of all available inference solutions for the LLMs
☆94Updated 11 months ago
Alternatives and similar repositories for llm-inference-solutions
Users that are interested in llm-inference-solutions are comparing it to the libraries listed below
Sorting:
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated last month
- Comparison of Language Model Inference Engines☆239Updated last year
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆282Updated this week
- ☆51Updated last year
- An innovative library for efficient LLM inference via low-bit quantization☆352Updated last year
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆93Updated this week
- Easy and Efficient Quantization for Transformers☆204Updated last week
- A simple service that integrates vLLM with Ray Serve for fast and scalable LLM serving.☆78Updated last year
- A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM☆220Updated this week
- ☆67Updated 10 months ago
- SGLang is fast serving framework for large language models and vision language models.☆32Updated 2 months ago
- This reference can be used with any existing OpenAI integrated apps to run with TRT-LLM inference locally on GeForce GPU on Windows inste…☆127Updated last year
- 🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.☆138Updated last year
- Benchmark suite for LLMs from Fireworks.ai☆89Updated this week
- Self-host LLMs with vLLM and BentoML☆168Updated last week
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆384Updated this week
- ☆328Updated last week
- Benchmarking the serving capabilities of vLLM☆58Updated last year
- Data preparation code for Amber 7B LLM☆94Updated last year
- Google TPU optimizations for transformers models☆135Updated last week
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆327Updated 4 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆260Updated last year
- Pretrain, finetune and serve LLMs on Intel platforms with Ray☆131Updated 4 months ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆110Updated 8 months ago
- ☆137Updated last year
- Inference server benchmarking tool☆142Updated 4 months ago
- Efficient LLM Inference over Long Sequences☆394Updated 7 months ago
- ☆198Updated last year
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆272Updated last week
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆355Updated last week