Artha Language Model (ArthaLM)
World's First & Most Affordable Custom LLM – Built by a Teen
Artha-1 is the world's first Liquid Neural Network-powered language model pipeline trained and deployed end-to-end by an independent teen researcher. Unlike traditional LLMs that require millions of dollars, proprietary infrastructure, and industrial compute clusters, Artha-1 was built in under 3 days using accessible tools and mid-range hardware.
What Makes It a World First?
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LNN-Based Reasoning Core:
This is the first open-source LLM to integrate a Liquid Neural Network (LNN) core for deep, dynamic reasoning inside compressed latent space. -
Built With ~Zero Budget:
Trained using just local GPUs and open datasets, no enterprise backing or funding was involved. This makes Artha-1 arguably the cheapest working LLM architecture available to the public. -
Created by a Teen Researcher:
From architecture design and training to deployment and packaging, every step was executed by an independent teen developer, proving that you don’t need a PhD or billion-dollar lab to innovate in AI.
Metadata
Release files for arthaLM 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| arthalm-0.1.0.tar.gz | 3.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arthalm-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.5 kB
Release files / arthalm-0.1.0.tar.gz
| Download URL | arthalm-0.1.0.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.10.0
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Release files / arthalm-0.1.0-py3-none-any.whl
| Download URL | arthalm-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.0
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Security for arthaLM 0.1.0
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