inference-benchmark VS inference

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

inference-benchmark

Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper) (by tensorchord)
Benchmark inference-server llm stable-diffusion Whisper
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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 inference
1 2
26 2,799
- 24.6%
6.4 9.8
11 months ago 3 days 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-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.

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

What are some alternatives?

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

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

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

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

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

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

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

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

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