system-design-questions
petals
| system-design-questions | petals | |
|---|---|---|
| 1 | 98 | |
| 1,708 | 8,730 | |
| - | 2.0% | |
| 0.0 | 8.3 | |
| 5 months ago | 21 days ago | |
| Python | Python | |
| - | MIT License |
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system-design-questions
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?
Faust - Python Stream Processing
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
low-level-design-primer - Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
llama - Inference code for Llama models
system-design - Learn how to design systems at scale and prepare for system design interviews
alpaca-lora - Instruct-tune LLaMA on consumer hardware
Portfolio - Some technical blogs for easy understanding of the concepts.
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.