inference VS inference-benchmark

Compare inference vs inference-benchmark and see what are their differences.

inference

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. (by xorbitsai)
ggml Pytorch chatglm chatglm2 Deployment flan-t5 llm wizardlm Artificial intelligence Machine Learning Distributed Computing Whisper
Source Code
inference.readthedocs.io
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inference-benchmark

Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper) (by tensorchord)
Benchmark inference-server llm stable-diffusion Whisper
Source Code
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inference inference-benchmark
2 1
2,871 26
26.5% -
9.8 6.4
5 days ago 11 months ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

inference

Posts with mentions or reviews of inference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.
  • GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
    4 projects | dev.to | 24 Jan 2024
    Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and WebUI. Furthermore, it integrates third-party developer tools like LangChain, LlamaIndex, and Dify, facilitating model integration and development.
  • 🤖 AI Podcast - Voice Conversations🎙 with Local LLMs on M2 Max
    1 project | /r/LocalLLaMA | 12 Jul 2023
    Code: https://github.com/xorbitsai/inference/blob/main/examples/AI_podcast.py

inference-benchmark

Posts with mentions or reviews of inference-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-05.

What are some alternatives?

When comparing inference and inference-benchmark you can also consider the following projects:

truss - The simplest way to serve AI/ML models in production

agentchain - Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks

ChatFred - Alfred workflow using ChatGPT, DALL·E 2 and other models for chatting, image generation and more.

ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

h2o-wizardlm - Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning

text-generation-inference - Large Language Model Text Generation Inference

mpt-30B-inference - Run inference on MPT-30B using CPU

aihandler - A simple engine to help run diffusers and transformers models

rwkv.cpp - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

inference vs truss inference-benchmark vs agentchain inference vs agentchain inference-benchmark vs ChatFred inference vs ChatGLM2-6B inference-benchmark vs mosec inference vs h2o-wizardlm inference-benchmark vs text-generation-inference inference vs mpt-30B-inference inference-benchmark vs truss inference vs aihandler inference vs rwkv.cpp