AI-Horde-Worker
petals
AI-Horde-Worker | petals | |
---|---|---|
5 | 98 | |
227 | 8,684 | |
1.8% | 1.2% | |
8.5 | 8.3 | |
about 2 months ago | 4 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | MIT License |
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AI-Horde-Worker
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ArtBot for Stable Diffusion
Source: https://github.com/Haidra-Org/AI-Horde-Worker#ai-horde-worke...
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Can u still run SD on google colab / kaggle free tier?
This is a crowdsourced distributed cluster of Image generation workers and text generation workers. If you like this service, consider joining the horde yourself!
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Reminder: You can help everyone, and especially yourself, by hosting on the AI Horde.
If you have your own mid-range GPU, you can onboard it onto the AI Horde. This will allow you to access the way more powerful GPUs provided by the other members of the horde and parallelize your workload a lot more efficiently or use way higher resolutions than before.
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I made a video featuring KoboldAI, running it easier than ever before on Windows/Linux
If you like doing this sort of packaging work and helping keep the barrier to entry low for tools democratizing AI, we could use the help with the AI Horde Worker.
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I am a Social Media Marketer willing to donate my labor and do free advertising online for Pygmalion. How do I best help?
Kobold AI-Horde-Worker
petals
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Mistral Large
So how long until we can do an open source Mistral Large?
We could make a start on Petals or some other open source distributed training network cluster possibly?
[0] https://petals.dev/
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Distributed Inference and Fine-Tuning of Large Language Models over the Internet
Can check out their project at https://github.com/bigscience-workshop/petals
- Make no mistake—AI is owned by Big Tech
- Would you donate computation and storage to help build an open source LLM?
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Run 70B LLM Inference on a Single 4GB GPU with This New Technique
There is already an implementation along the same line using the torrent architecture.
https://petals.dev/
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Run LLMs in bittorrent style
Check it out at Petals.dev. Chatbot
- Is distributed computing dying, or just fading into the background?
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Ask HN: Are there any projects currently exploring distributed AI training?
https://github.com/bigscience-workshop/petals
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Mistral 7B,The complete Guide of the Best 7B model
https://github.com/bigscience-workshop/petals
Inference only: https://lite.koboldai.net/
- Run LLMs at home, BitTorrent‑style
What are some alternatives?
KoboldAI-Horde-Bridge - Turns KoboldAI into a crowdsourced distributed cluster
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
AI-Horde - A crowdsourced distributed cluster for AI art and text generation
llama - Inference code for Llama models
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
alpaca-lora - Instruct-tune LLaMA on consumer hardware
KoboldAI-Client
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.