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48% of all-time downloads
yeths/The-Quettamind
The-Quettamind is a machine learning model from yeths. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for safetensors. The card lists the license as mit.
Just so you know: despite the numbers below, this repo only takes up a few megabytes of actual storage on Hugging Face's servers, nowhere near what 39.2 quadrillion parameters would traditionally require.
Downloads · 30 days
234
48% of all-time downloads
All-time downloads
491
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Parameters
39200T
490 GB on disk
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.safetensors4898 TB · 100%
From the Hugging Face model README
Just so you know: despite the numbers below, this repo only takes up a few megabytes of actual storage on Hugging Face's servers, nowhere near what 39.2 quadrillion parameters would traditionally require.
39.2 quadrillion parameters.
| Repository | Declared Parameters |
|---|---|
| tsfrm/vacuum-16t | 16.501T |
| VickM/leviathan-19t | 18.997T |
| Solenopsisbot/nullnet-19.98q | 19.98Q |
| The Quettamind | 39.2Q |
| Benchmark | Fable 5 | Opus 5 | GPT 5.6 Sol | Kimi K3 | Qwen 3.8 Max | The Quettamind |
|---|---|---|---|---|---|---|
| Terminal Bench 2.1 | 88.0 | 89.1 | 88.8 | 88.3 | 86.6 | 0.0 |
| NL2Repo | 63.0 | 65.0 | 63.0 | 61.0 | 55.9 | 0.0 |
| CyberGym | 83.1 | 84.0 | 84.5 | 80.0 | 79.0 | 0.0 |
| DeepSWE | 70.0 | 74.0 | 73.0 | 67.5 | 56.6 | 0.0 |
| Toolathlon-Verified | 77.9 | 80.6 | 74.9 | 76.5 | 72.5 | 0.0 |
| Agents' Last Exam | 25.7 | 28.1 | 30.6 | 28.3 | 27.0 | 0.0 |
| AutomationBench Public | 29.1 | 26.0 | 29.7 | 30.8 | 27.3 | 0.0 |
| DSBench-FullStack † | 75.5 | 79.8 | 81.3 | 78.4 | 72.8 | 0.0 |
| DSBench-Hard † | 70.8 | 73.8 | 74.2 | 72.8 | 66.8 | 0.0 |