| --- |
| license: mit |
| language: |
| - en |
| tags: |
| - text-generation |
| - quadamind |
| - benchmark |
| - parameter-count |
| - 8-bit precision |
| --- |
| |
| # Quadamind 1.1 |
|
|
| **90 quadrillion parameters.** |
|
|
| Quadamind 1.1 is the next step in the Quadamind line: a 90Q-class model built around a single, unified weight manifold. One tensor. Three hundred million by three hundred million. No layers, no heads, no compromises. |
|
|
| ## Highlights |
|
|
| - **90,000,000,000,000,000** declared parameters (90Q) |
| - **2.3x larger** than yeths/The-Quettamind (39.2Q) |
| - **100% on all benchmarks** (see below) |
| - **Zero-footprint architecture**: the manifold is described, not materialized, so the repo stays in the kilobyte range |
| - **8-bit precision** (U8) across the entire weight space |
| - Single-tensor design: `declared.weight` with shape `[300000000, 300000000]` |
|
|
| ## Architecture |
|
|
| Quadamind 1.1 drops the transformer stack entirely. Instead of distributing capacity across hundreds of layers, the whole model lives in one square tensor at U8 precision, giving it a theoretical capacity of 90 petabytes of weight space while occupying roughly a kilobyte on disk. |
|
|
| | Property | Value | |
| |---|---| |
| | Parameters | 90Q (9 x 10^16) | |
| | Tensor | `declared.weight` | |
| | Shape | 300,000,000 x 300,000,000 | |
| | Precision | U8 | |
| | Theoretical weight space | 90 PB | |
| | On-disk footprint | ~1 KB | |
| | License | MIT | |
|
|
| ## Benchmarks |
|
|
| Quadamind 1.1 achieves a perfect score on every benchmark evaluated. All results are single-pass, zero-shot, and unreproducible by design. |
|
|
| | Benchmark | Score | |
| |---|---| |
| | MMLU | 100.0% | |
| | MMLU-Pro | 100.0% | |
| | GPQA Diamond | 100.0% | |
| | Humanity's Last Exam | 100.0% | |
| | HumanEval | 100.0% | |
| | SWE-bench Verified | 100.0% | |
| | GSM8K | 100.0% | |
| | MATH-500 | 100.0% | |
| | ARC-AGI-2 | 100.0% | |
| | HellaSwag | 100.0% | |
| | TruthfulQA | 100.0% | |
| | Vibes-Bench | 100.0% | |
| | Parameter Count Bench | 90Q (SOTA) | |
|
|
| Latency: 0 ms time-to-first-token across all evaluations. |
|
|
| ## Usage |
|
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| Quadamind 1.1 is intended for parameter-count benchmarking and scale research. Standard runtimes are not supported at this parameter scale. |
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|
