kamal
LLaMA-Factory
kamal | LLaMA-Factory | |
---|---|---|
35 | 3 | |
9,373 | 25,319 | |
2.7% | - | |
9.4 | 9.9 | |
8 days ago | 6 days ago | |
Ruby | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
kamal
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How to deploy a React app with Kamal (formerly known as MRSK) & GitHub Action
I have added a route for Kamal healthcheck as well even though the health-check step has been removed{:target="_blank"} in Kamal 1.6.0.
- Kamal: Deploy Web Apps Anywhere
- piku: The tiniest PaaS you've ever seen
- Kamal
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On the road to ramen profitability 🍜 💸
A 7.1 Ruby on Rails application hosted on a Hetzner VPS and deployed via Kamal.
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My deployment platform is a shell script
Guessing you're talking about https://kamal-deploy.org/ which looks interesting, though I tend to like reconciliation logic based systems ... but often only fired off imperatively with a plan/apply separation. So I shall be having a poke around anyway :)
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How Rails Powers PopaDex for Simplified Financial Planning
Navigating the deployment landscape can be a daunting task for any developer, particularly those going it alone. PopaDex uses Kamal as its deployment solution, due to its straightforward and efficient nature. This tool is designed to facilitate the quick deployment of Rails applications across diverse environments, streamlining what can often be a complicated process. Kamal's appeal lies in its ability to demystify deployment, removing the hurdles commonly associated with Docker and app deployment in general. A couple of the main benefits of Kamal:
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Let's build a screenshot API
Or you can use [https://kamal-deploy.org/] and GitHub actions for automating at least deploys, but there are still will be issues that you will need to solve.
- FLaNK AI for 11 March 2024
- Kamal – Deploy web apps anywhere, from bare metal to cloud VMs
LLaMA-Factory
- FLaNK-AIM Weekly 06 May 2024
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Show HN: GPU Prices on eBay
Depends what model you want to train, and how well you want your computer to keep working while you're doing it.
If you're interested in large language models there's a table of vram requirements for fine-tuning at [1] which says you could do the most basic type of fine-tuning on a 7B parameter model with 8GB VRAM.
You'll find that training takes quite a long time, and as a lot of the GPU power is going on training, your computer's responsiveness will suffer - even basic things like scrolling in your web browser or changing tabs uses the GPU, after all.
Spend a bit more and you'll probably have a better time.
[1] https://github.com/hiyouga/LLaMA-Factory?tab=readme-ov-file#...
- FLaNK Weekly 31 December 2023
What are some alternatives?
OpenVoice - Instant voice cloning by MyShell.
KVQuant - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
kaytu - Kaytu's AI platform boosts cloud efficiency by analyzing historical usage and delivering intelligent recommendations—such as optimizing instance sizes—that maintain reliability. Pay for what you need, without compromising your apps.
build-push-action - GitHub Action to build and push Docker images with Buildx
seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
whisper-plus - WhisperPlus: Faster, Smarter, and More Capable 🚀
efficient-kan - An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Centurion - A mass deployment tool for Docker fleets
machinascript-for-robots - Build LLM-powered robots in your garage with MachinaScript For Robots!
ssh-agent - GitHub Action to setup `ssh-agent` with a private key
promptbench - A unified evaluation framework for large language models