direktiv
ollama
direktiv | ollama | |
---|---|---|
13 | 199 | |
464 | 62,615 | |
1.5% | 19.1% | |
10.0 | 9.9 | |
4 days ago | 4 days ago | |
TypeScript | Go | |
Apache License 2.0 | 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.
direktiv
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Preloading Ollama Models
That went okay, but there is still the startup problem - it took ages to run the lifecycle hook, plus it won't function on Kubernetes nodes with no internet access. At Direktiv were are using Knative a lot as well which does not support lifecycle events. So, my plan was to create a container using the Ollama image as base with the model pre-downloaded.
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Knative Serverless in 2024
When deciding which option to choose, consider your specific environment, requirements, and preferences. At Direktiv, we typically opt for Contour due to its simplicity. However, your choice may vary depending on your use case and infrastructure setup.
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Lessons Learned from Running Apache Airflow at Scale
So being completely transparent, we're the creators of Direktiv (https://github.com/direktiv/direktiv). We're genuinely curious to have users who have previously used Airflow and other DAGs (mentioned in here is Argo workflows) try Direktiv and give us more feedback.
- direktiv runs containers as part of workflows from any compliant container registry, passing JSON structured data between workflow states.
- Encrypting server-side emails using serverless workflows using Direktiv
- Encrypting server-side emails using serverless workflows
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Step Functions Wait Loop w/ Timeout Feature
If you want a portable step functions take a look at https://github.com/vorteil/direktiv developers are very helpful and responsive
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Direktiv: Docker development environment, VSCode plugin & Infrastructure-as-a-Chatbot
Another update to our Direktiv event-driven serverless workflow engine - but this one focused on development. Release v0.3.1 included some bug fixes, improved stability and security enhancements, but more notably:
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Update to our serverless workflow engine Direktiv
We've previously posted on our serverless workflow / automation engine called Direktiv and wanted to share a couple of updates:
ollama
- Ollama v0.1.33
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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
What are some alternatives?
direktiv-apps - Direktiv Application Containers
llama.cpp - LLM inference in C/C++
states-language-cadence - States Language on Cadence
gpt4all - gpt4all: run open-source LLMs anywhere
argo - Workflow Engine for Kubernetes
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
windmill - Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
toil - A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
llama - Inference code for Llama models
stepwise - Clojure AWS Step Functions library
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.