refact
ollama
refact | ollama | |
---|---|---|
34 | 199 | |
1,422 | 62,615 | |
3.3% | 19.1% | |
9.8 | 9.9 | |
4 days ago | 5 days ago | |
JavaScript | Go | |
BSD 3-clause "New" or "Revised" License | 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.
refact
- RefactAI: Use best-in-class LLMs for coding in your IDE
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Supercharge Your Dev Workflow: How Refact's AI-powered Code Completion Boosts Developer Productivity
With over 1.3k stars on GitHub, more than 40k downloads and installs on both VS Code and JetBrains IDEs, and more than 50 positive reviews, it is worth saying that Refact is part of the best product in the AI coding assistant market.
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What do you use to run your models?
On vscode i sometimes use continue.dev and refact.ai just for fun and they are great!
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AI Code assistant for about 50-70 users
Refact was made for this: https://github.com/smallcloudai/refact
- Free WebUI for Fine-Tuning and Self-Hosting Open-Source LLMs for Coding
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LocalPilot: Open-source GitHub Copilot on your MacBook
You should check-out [refact.ai](https://github.com/smallcloudai/refact). It has both autocomplete and chat. It's in active development, with lots of new features coming soon (context search, fine-tuning for larger models, etc)
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Replit's new AI Model now available on Hugging Face
I don’t recommend that, since that uses the cloud for the actual inference by default (and they provide no guidance for changing that).
I don’t consider cloud inference to count as getting it working “locally” as requested by the comment above yours.
Refact works nicely and works locally, but the challenge with any new model is making it be supported by the existing software: https://github.com/smallcloudai/refact/
- Refact.ai 1.0.0 Released
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📝 🚀 Creating our first documentation from scratch using Astro and Refact AI coding assistant
Previously, we used Astro for our refact.ai website and wanted to stay within the Astro ecosystem for the documentation.
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🤖We trained a small 1.6b code model and you can use it as a personal copilot in Refact for free🤖
Refact LLM can be easily integrated into existing developers workflows with an open-source docker container and VS Code and JetBrains plugins. With Refact's intuitive user interface, developers can utilize the model easily for a variety of coding tasks. Finetune is available in the self-hosting (docker) and Enterprise versions, making suggestions more relevant for your private codebase.
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?
tabby - Self-hosted AI coding assistant
llama.cpp - LLM inference in C/C++
fauxpilot - FauxPilot - an open-source alternative to GitHub Copilot server
gpt4all - gpt4all: run open-source LLMs anywhere
llama-cpp-python - Python bindings for llama.cpp
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
developer - the first library to let you embed a developer agent in your own app!
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
supervision - We write your reusable computer vision tools. 💜
llama - Inference code for Llama models
autodoc - Experimental toolkit for auto-generating codebase documentation using LLMs
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.