gtausa197-svg/-Project-Nord-Spiking-Neural-Network-Language-Model
The first pure SNN language model trained from scratch with a fully original architecture. 144M parameters • 97% sparsity • Runs on phone • Online learning via STDP • $10 total training cost
Project Nord is a brain-inspired language model designed to process text more efficiently than traditional models. It takes your text inputs and generates relevant, structured text responses by mimicking how the human brain's neurons communicate. This is ideal for researchers and developers exploring advanced, energy-efficient AI models, especially those interested in neuromorphic computing.
Use this if you are a researcher or AI developer looking to experiment with a novel, biologically-inspired language model that offers significant advancements in computational efficiency and sparsity.
Not ideal if you need a production-ready, highly accurate language model for general-purpose tasks today, as its primary value lies in its experimental architecture and potential for future neuromorphic applications.
Stars
35
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/gtausa197-svg/-Project-Nord-Spiking-Neural-Network-Language-Model"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
hassancs91/SimplerLLM
Simplify interactions with Large Language Models
tylerelyt/LLM-Workshop
🌟 Learn Large Language Model development through hands-on projects and real-world implementations
avilum/minrlm
Token-efficient Recursive Language Model. 3.6x fewer tokens than vanilla LLMs. Data never enters...
kyegomez/SingLoRA
This repository provides a minimal, single-file implementation of SingLoRA (Single Matrix...
NetEase-Media/grps_trtllm
Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM...