h2o-llmstudio
cheat.sh
| h2o-llmstudio | cheat.sh | |
|---|---|---|
| 13 | 140 | |
| 3,614 | 37,506 | |
| 3.3% | - | |
| 9.3 | 0.0 | |
| about 19 hours ago | 5 months ago | |
| Python | Python | |
| 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.
h2o-llmstudio
- Paid dev gig: develop a basic LLM PEFT finetuning utility
-
building LLM model to answer question
Vector databases are probably a good place to start, though you've already tried LlamaIndex. You might want to try https://github.com/h2oai/h2o-llmstudio and https://github.com/h2oai/h2ogpt.
- [P] Uptraining a pretrained model using company data?
-
Permissive LLaMA 7b chat/instruct model
Training framework: https://github.com/h2oai/h2o-llmstudio
-
Is what I need possible currently?
Check out LLM Studio for fine tuning LLMs. Open source: https://github.com/h2oai/h2o-llmstudio
- FLaNK Stack Weekly for 30 April 2023
- FLaNK Stack Weekly for 24April2023
- GitHub - h2oai/h2o-llmstudio: H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs
- New Open Source Framework and No-Code GUI for Fine-Tuning LLMs: H2O LLM Studio
- Can an average person learn how to build a LLM model?
cheat.sh
-
Ask HN: What are your go to shell one-liners?
curl https://cheat.sh/$1
- Show HN: Cheat.sh Client
- Cheatsheets over Curl
- Cheat.sh – Community Driven Documentation
-
Should you add screenshots to documentation?
cheat.sh [0] has been a godsend when the man pages are too dense and I just want to use the tool and move on with my life.
[0] http://cheat.sh/
- Making Hard Things Easy
-
Free Tech Tools and Resources - WinPE Build, Cheatsheet Tool, PW Recovery & More
Cheat.sh provides unified access to the world's best community-driven documentation repositories. Its simple interface gives access to an impressive range of 56 programming languages, several DBMSes, and over 1000 essential UNIX/Linux commands. Offering StackOverflow-level cheat sheets, it requires no installation and boasts lightning-fast response times. The optional CLI client seamlessly integrates with code editors to eliminate the need for a browser, and the unique 'stealth mode' allows for entirely invisible and silent use. Our appreciation for this recommendation goes to Hoolies.
-
? - The only cheat sheet you need
I like what you're doing with this, never used cheat.sh before but had a little look around and great idea :) I've not tested everything, i seen something about find and thought i could help.
- Show HN: Trogon – An automatic TUI for command line apps
- Cheat.sh
What are some alternatives?
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
tldr - 📚 Collaborative cheatsheets for console commands
killport - A command-line tool to easily kill processes running on a specified port.
navi - An interactive cheatsheet tool for the command-line
HealthGPT - Query your Apple Health data with natural language 💬 🩺
fzf - :cherry_blossom: A command-line fuzzy finder
bark - 🔊 Text-Prompted Generative Audio Model
cheat - cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.
pandas-ai - Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
inxi - inxi is a full featured CLI system information tool. It is available in most Linux distribution repositories, and does its best to support the BSDs.
ue5-llama-lora - A proof-of-concept project that showcases the potential for using small, locally trainable LLMs to create next-generation documentation tools.
updog - Updog is a replacement for Python's SimpleHTTPServer. It allows uploading and downloading via HTTP/S, can set ad hoc SSL certificates and use http basic auth.