emqx
ollama
emqx | ollama | |
---|---|---|
7 | 198 | |
13,235 | 62,615 | |
1.1% | 19.1% | |
10.0 | 9.9 | |
6 days ago | 2 days ago | |
Erlang | Go | |
GNU General Public License v3.0 or later | MIT License |
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.
emqx
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Simplest Guide to DIY Your Own LLM Toy in 2024
EMQX (optional): Open-source MQTT broker for IoT, IIoT, and connected vehicles. Used for managing your toys.
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All right, which one of you did this?
I do know a real world use for Erlang (it also surprised me when i investigated about it), but two of the biggest mqtt brokers are coded in erlang: emqx, vernemq
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Comparing MQTT Brokers for the Industrial IoT
EMQX is a 10-year-old open-source project under Apache License 2.0, with 11k stars on GitHub(https://github.com/emqx/emqx), 20M downloads on DockerHub (https://hub.docker.com/r/emqx/emqx), and 400+ paid customers worldwide. The Sweden address you mentioned is only the registered address of our Sweden entity. We’re a globally distributed team. EMQX European R&D team members work remotely in Sweden, Germany, the UK, and Brazil. We have similar registered addresses for entities in Germany and the USA too. See my response in linkedin for the address doxing.
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We launched a serverless MQTT service with 1M free session minutes each month
Hello, we’ve met situations where messages are accumulated in EMQX due to slow user consumption, and then EMQX will be killed by the operating system as it takes up too much memory. It is usually caused by improper configuration. However, we are unclear about what kind of situations you met. Could you please raise an issue in our GitHub community at: https://github.com/emqx/emqx/issues? Our experts will try to offer help asap.
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Reaching 100M MQTT Connections with EMQX 5.0
EMQX is an open-source, highly scalable, and distributed MQTT messaging broker written in Erlang/OTP that can support millions of concurrent clients. As such, there is a need to persist and replicate various data among the cluster nodes. For example: MQTT topics and their subscribers, routing information, ACL rules, various configurations, and many more. Since its beginning, EMQX has used Mnesia as the database backend for such needs.
- EMQX 5.0 Released: 100M+ IoT Connections Per Cluster
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EMQX made in China?
EMQX(https://github.com/emqx/emqx) is an open-source project under Apache License 2.0, we don't think there are national borders for open source. The nature of its being open-source means it is developed, tested, and used by the open-source community worldwide. For a popular open-source project that has been downloaded by 15M times and adopted so widely globally for many years, it’s impossible to have a backdoor hidden without being discovered.
ollama
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
# install the Ollama curl -fsSL https://ollama.com/install.sh | sh # get the llama3 model ollama pull llama2 # install the MLFlow pip install mlflow
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Create an AI prototyping environment using Jupyter Lab IDE with Typescript, LangChain.js and Ollama for rapid AI prototyping
Ollama for running LLMs locally
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Setup Llama 3 using Ollama and Open-WebUI
curl -fsSL https://ollama.com/install.sh | sh
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Ollama v0.1.33 with Llama 3, Phi 3, and Qwen 110B
Streaming is not a problem (it's just a simple flag: https://github.com/wiktor-k/llama-chat/blob/main/index.ts#L2...) but I've never used voice input.
The examples show image input though: https://github.com/ollama/ollama/blob/main/docs/api.md#reque...
Maybe you can file an issue here: https://github.com/ollama/ollama/issues
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I Said Goodbye to ChatGPT and Hello to Llama 3 on Open WebUI - You Should Too
I’m a huge fan of open source models, especially the newly release Llama 3. Because of the performance of both the large 70B Llama 3 model as well as the smaller and self-host-able 8B Llama 3, I’ve actually cancelled my ChatGPT subscription in favor of Open WebUI, a self-hostable ChatGPT-like UI that allows you to use Ollama and other AI providers while keeping your chat history, prompts, and other data locally on any computer you control.
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Let’s build AI-tools with the help of AI and Typescript!
Ollama for running LLMs locally
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One LLaMa to rule them all
There are various other interesting options to set, but for those, I will direct you to the link to the documentation. During the OS Day, I had the chance to experiment a bit with the models offered by Ollama; in fact, if you need some inspiration, I invite you to check out the YouTube channel of Shroedinger Hat where you can find the videos of the individual talks, also organized in a single playlist; you will find more than one showing the use of Ollama for various projects and in various ways 😁
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How to Run Llama 3 Locally with Ollama and Open WebUI
That’s where Ollama comes in! Ollama is a free and open-source application that allows you to run various large language models, including Llama 3, on your own computer, even with limited resources. Ollama takes advantage of the performance gains of llama.cpp, an open source library designed to allow you to run LLMs locally with relatively low hardware requirements. It also includes a sort of package manager, allowing you to download and use LLMs quickly and effectively with just a single command.
- Ollama: Acknowledge the work done by Georgi and team
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Mixtral 8x22B
easiest is probably with ollama [0]. I think the ollama API is OpenAI compatible.
[0]https://ollama.com/
What are some alternatives?
hivemq-community-edition - HiveMQ CE is a Java-based open source MQTT broker that fully supports MQTT 3.x and MQTT 5. It is the foundation of the HiveMQ Enterprise Connectivity and Messaging Platform
llama.cpp - LLM inference in C/C++
vernemq - A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!
gpt4all - gpt4all: run open-source LLMs anywhere
Aedes - Barebone MQTT broker that can run on any stream server, the node way
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
MQTTnet - MQTTnet is a high performance .NET library for MQTT based communication. It provides a MQTT client and a MQTT server (broker). The implementation is based on the documentation from http://mqtt.org/.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
lorawan-server - Compact server for private LoRaWAN networks
llama - Inference code for Llama models
mainflux - Industrial IoT Messaging and Device Management Platform
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.