pyllama
dalai
| pyllama | dalai | |
|---|---|---|
| 5 | 59 | |
| 2,789 | 13,060 | |
| - | - | |
| 5.0 | 6.5 | |
| 6 months ago | 5 months ago | |
| Python | CSS | |
| GNU General Public License v3.0 only | - |
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.
pyllama
-
Tech pioneers call for six-month pause of "out-of-control" AI development
Got u fam
-
Alpaca 7B Training - $75/Hour --> Bay Area? [P]
I am the author of pyllama https://github.com/juncongmoo/pyllama
- Integrate LLaMA into python code
- Together Releases The First Open-Source ChatGPT Alternative Called OpenChatKit
- pyllama - I just published a python library for LLaMA with Single GPU inference code
dalai
-
Ask HN: What are the capabilities of consumer grade hardware to work with LLMs?
I agree, I've definitely seen way more information about running image synthesis models like Stable Diffusion locally than I have LLMs. It's counterintuitive to me that Stable Diffusion takes less RAM than an LLM, especially considering it still needs the word vectors. Goes to show I know nothing.
I guess it comes down to the requirement of a very high end (or multiple) GPU that makes it impractical for most vs just running it in Colab or something.
Tho there are some efforts:
https://github.com/cocktailpeanut/dalai
-
Meta to release open-source commercial AI model
If you're just looking to play with something locally for the first time, this is the simplest project I've found and has a simple web UI: https://github.com/cocktailpeanut/dalai
It works for 7B/13B/30B/65B LLaMA and Alpaca (fine-tuned LLaMA which definitely works better). The smaller models at least should run on pretty much any computer.
- How can I run a large language model locally?
- meirl
-
FreedomGPT: AI with no censorship
I am not against easy mode options dude, for example I used to run GANs through command line. I replaced them with Upscayl when I found it. Convenience is king after all. Something about this one isn't right though. They are advertising it as a model they built meanwhile their own github show it to be a frontend of LLAMA. Why aren't they honest about it? Why use bots to spam about it? This causes me to not trust the executable they share to 1 to 1 compliation of the source code neither. I would still recommend looking for more decent alternatives. Btw, running it directly isn't that complicated
-
Google removes the waitlist on Bard today and will be available in 180 more countries
https://github.com/ggerganov/llama.cpp https://github.com/oobabooga/text-generation-webui https://github.com/mlc-ai/mlc-llm https://github.com/cocktailpeanut/dalai https://github.com/ido-pluto/catai (this is super easy to install but it doesnt provide an api or have integration with langchain)
-
ChatGPT Data Breach BreakDown - Why it Should be a Concern for Everyone!
This was easy to get running: https://github.com/cocktailpeanut/dalai with alpaca 13B (on my 16GB or ram)
-
A brief history of LLaMA models
I had it running before with Dalai (https://github.com/cocktailpeanut/dalai) but have since moved to using the browser based WebGPU method (https://mlc.ai/web-llm/) which uses Vicuna 7B and is quite good.
-
Meet Atom the GPT Assistant, an AI-powered Smart Home Assistant. It's like Google Assistant but with endless possibility of ChatGPT, it's like Siri but with extensibility of Open Source power.
https://github.com/nsarrazin/serge let's you pick which model and runs in a container. For API https://github.com/cocktailpeanut/dalai looks super promising.
- Mercredi Tech - 2023-04-26
What are some alternatives?
playground - Play with neural networks!
gpt4all - gpt4all: run open-source LLMs anywhere
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
clip-interrogator - Image to prompt with BLIP and CLIP
llama - Inference code for Llama models
tortoise-tts-fast - Fast TorToiSe inference (5x or your money back!)
alpaca-lora - Instruct-tune LLaMA on consumer hardware
llm - An ecosystem of Rust libraries for working with large language models
llama.cpp - LLM inference in C/C++
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.