Hugging Face
Models
Datasets
Spaces
Buckets
new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
245.3
TFLOPS
ActiveEnergy
islameissa
10
1
5
Follow
Ujjwal-Tyagi's profile picture
adeptV's profile picture
jorgemunozl's profile picture
3 followers
Β·
25 following
AI & ML interests
None yet
Recent Activity
liked
a model
14 days ago
deepreinforce-ai/Ornith-1.0-35B-GGUF
new
activity
14 days ago
deepreinforce-ai/Ornith-1.0-35B-GGUF:
Good Job
reacted
to
constannnt
's
post
with π₯
15 days ago
We are excited to announce Sipp.sh: a high-performance library for running AI inference locally and in the cloud through a unified API. We began to realize that an LLM isn't just a chat interface for information retrieval. It can be integrated directly into web, games, or productivity apps to handle continuous monitoring and decision-making. It can act as a sort of "second brain,β the silent hand that guides and helps a user without them even realizing it. We see this as the next frontier of UX design, but this is only possible if developers have access to low-cost, zero-latency compute and absolute data privacy. That's why we created Sipp. Itβs an opinionated library that lets developers integrate local AI into any application, giving them the superpowers to completely rethink user experiences across the web, games, and desktop. To achieve this, we built an entirely new stack in Rust and C++, working alongside the llama.cpp project. Through our work, we were able to contribute back to that community to help upgrade the GGML WebGPU backend. This deep optimization is what enables our fast, responsive decode speeds directly in the browser. Sipp ships as a zero-dependency library for desktop and web, achieving 3x to 5x speedup in token decode compared to popular alternatives. We are already seeing some incredible use cases emerge from this, from continuous monitoring using local vision to the dynamic generation of game elements in a real-time wizard vs. wizard game. The best part? It's fully open-source! We see this as the start of a dialogue about what the future of user interaction is going to look like, and we built Sipp to lay the foundation for that exciting future. Check out the live demos on our site, run your own benchmarks, or come hang out with us in our Discord. Website: https://www.sipp.sh/ Github: https://github.com/noumena-labs/Sipp
View all activity
Organizations
None yet
islameissa
's models
1
Sort:Β Recently updated
islameissa/Qwen3.6-27B_IQ4_GGUF
27B
β’
Updated
Apr 24
β’
136
β’
3