vrr/prima.cpp
2
0
Fork 0
mirror of https://github.com/Lizonghang/prima.cpp.git synced 2025-09-06 06:09:04 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Update README.md

Browse source
This commit is contained in:
Li, Zonghang 2025-04-11 01:20:36 +08:00 • committed by GitHub
parent 4ab9087d69
commit 4845abf25e
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 2 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
README.md
View file

@ -3,12 +3,12 @@
![prima](https://raw.githubusercontent.com/Lizonghang/prima.cpp/main/figures/prima-cpp-logo.png)
[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
prima.cpp is a magic trick that lets you **run 70B-level LLMs on your everyday devices**—💻 laptops, 🖥️ desktops, 📱 phones, and tablets (GPU or no GPU, it’s all good). With it, you can run **QwQ-32B, Qwen 2.5-72B, Llama 3-70B, or DeepSeek R1 70B** right from your local home cluster!
prima.cpp is a **distributed implementation** of [llama.cpp](https://github.com/ggerganov/llama.cpp) that lets you **run 70B-level LLMs on your everyday devices**—💻 laptops, 🖥️ desktops, 📱 phones, and tablets (GPU or no GPU, it’s all good). With it, you can run **QwQ-32B, Qwen 2.5-72B, Llama 3-70B, or DeepSeek R1 70B** right from your local home cluster!
Worried about OOM or your device stucking? Never again! prima.cpp keeps its **memory pressure below 10%**, you can run very large models while enjoying Tiktok (if you don't mind the inference speed).
## 🚀 Performance
How about speed? Built upon [llama.cpp](https://github.com/ggerganov/llama.cpp), but it’s **15x faster!** 🚀 On my poor devices, QwQ-32B generates 11 tokens per second, and Llama 3-70B generates 1.5 tokens per second. That's about the same speed as audiobook apps, from slow to fast speaking. We plan to power a **Home Siri** soon, then we can have private chats without privacy concerns.
How about speed? Built upon llama.cpp, but it’s **15x faster!** 🚀 On my poor devices, QwQ-32B generates 11 tokens per second, and Llama 3-70B generates 1.5 tokens per second. That's about the same speed as audiobook apps, from slow to fast speaking. We plan to power a **Home Siri** soon, then we can have private chats without privacy concerns.
**prima.cpp vs llama.cpp on QwQ 32B:**