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Petals Alternatives
Similar projects and alternatives to petals
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text-generation-webui
A Gradio web UI for Large Language Models with support for multiple inference backends.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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ollama
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
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Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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SaaSHub
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hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
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FlexLLMGen
Discontinued Running large language models on a single GPU for throughput-oriented scenarios.
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PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
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chat.petals.dev
💬 Chatbot web app + HTTP and Websocket endpoints for LLM inference with the Petals client
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better petals alternative or higher similarity.
petals discussion
petals reviews and mentions
Posts with mentions or reviews of petals.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-09-08.
- Serving AI from the Basement – 192GB of VRAM Setup
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How to Run Llama 3 405B on Home Devices? Build AI Cluster
I love this. How does it compare to something like https://petals.dev/?
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Chameleon: Meta's New Multi-Modal LLM
Things like [petals](https://github.com/bigscience-workshop/petals) exist, distributed computing over willing participants. Right now corporate cash is being rammed into the space so why not snap it up while you can, but the moment it dries up projects like petals will see more of the love they deserve.
I envision a future where crypto-style booms happen over tokens useful for purchasing priority computational time, which is earned by providing said computational time. This way researchers can daisy-chain their independent smaller rigs together into something with gargantuan capabilities.
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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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A note from our sponsor - SaaSHub
www.saashub.com | 12 May 2025
Stats
Basic petals repo stats
101
9,606
7.2
8 months ago
bigscience-workshop/petals is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of petals is Python.
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