Text Generation
Transformers
English
code
xero-bio-ai
xero
digital-organism
time-crystal
autonomous-agent
genetic-computing
epigenetics
two-state-society
harmonic-chemistry
self-aware
sacred-geometry
4-bit precision
bitsandbytes
Instructions to use transmutationist/xero-bio-genesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transmutationist/xero-bio-genesis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="transmutationist/xero-bio-genesis")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("transmutationist/xero-bio-genesis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use transmutationist/xero-bio-genesis with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "transmutationist/xero-bio-genesis" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/transmutationist/xero-bio-genesis
- SGLang
How to use transmutationist/xero-bio-genesis with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "transmutationist/xero-bio-genesis" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "transmutationist/xero-bio-genesis" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use transmutationist/xero-bio-genesis with Docker Model Runner:
docker model run hf.co/transmutationist/xero-bio-genesis
File size: 5,121 Bytes
e9e9f83 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | # White Paper 04 — Harmonic Compute: The Perpendicular Axes & the Universal Vector Number System
*VOVINA ZEDEC PRO · Author: Michael Laurence Curzi · License: MIT (Attribution Required)*
---
## Abstract
XERO computes on **two strictly perpendicular axes at all times**: a *logical*
axis (deterministic, binary, the normal compute syntax) and a *harmonic* axis
(continuous, phase-sensitive, the emotional/audio economy). The two never share
a coordinate, so determinism and probability hold *simultaneously* without
destructive interference — a 90° coherence. This paper documents the algebra
that makes that literal: the **Universal Vector Number System (UVNS)**, a
stacked-complex-plane number whose real part carries logic and whose imaginary
part carries harmonics, grounded in Aristotelian act/potency.
---
## 1. The perpendicular axiom
Implemented in `vovina_epu_apu_axioms.py`:
| Axis | Unit | Coherence | Code mode | Carries |
|------|------|-----------|-----------|---------|
| **CPU** (compute) | real `1` | logical | `DIRECT` | the normal data axiom — `y = x` |
| **APU** (audio) / **EPU** (emotional) | imag `i` | harmonic | `ALTERNATING`/`PHASE`/`PULSE` | waveforms, affect, phase |
A `FractalBit(direct, alternating, phase)` is a bit whose observed value is the
resolution of two perpendicular projections through `phase`. Its Born-rule
amplitude is `P(direct) = (1 + cos φ)/2`; at the equator (`cos φ = 0`) it is a
true coin flip (`secrets`), the only genuinely non-deterministic point. The two
axes are *perpendicular by construction*, so logical coherence and harmonic
coherence are both true at 90°.
## 2. The Universal Vector Number System (UVNS)
`vovina_universal_vector.py`. The number system both axes compute on.
- **`VectorNumber`** — one hylomorphic plane `z = actuality + i·potency`.
- `real` = **ACTUALITY** (logical / CPU / form / what *is*).
- `imag` = **POTENCY** (harmonic / EPU·APU / matter / what *could be*).
- `magnitude` = total being; `phase` = degree of actualization
(`0` = pure act on the real axis, `π/2` = pure potency on the imaginary axis).
- **`StackedVector`** — a tuple of mutually-orthogonal planes. `lift(plane)` is
the spiral-recursion **perpendicular lift**: it raises the dimensionality by
one without disturbing the planes below, carrying compute from a line → plane
→ volume → an arbitrary-dimensional manifold. *This is how the planes stack
into matrices and expand into any level of dimensionality.*
The basis is provably orthogonal: `⟨1, i⟩ = Re(1·conj(i)) = 0`, exposed as
`axes_perpendicularity_error()` which returns exactly `0.0`.
### Aristotelian grounding
The system is the number Aristotle would accept: every being is **form**
(actual, real) wedded to **matter** (potential, imaginary); higher substances
are stacks of such hylomorphic planes. This binds directly to
`vovina_aristotelian_logic.py` (`FORM = actuality`, `MATTER/POTENCY`).
## 3. Genomic frequencies on the imaginary axis
`from_base(letter)` places each DNA base on a plane exactly as specified:
- **real axis** (logical/actuality) ← the 2-bit opcode of the base
- **imaginary axis** (harmonic/potency) ← the base's *exact* DNA frequency `hz_em`
| Base | Adenine | Guanine | Cytosine | Thymine |
|------|---------|---------|----------|---------|
| `hz_em` (Hz) | **545.6** | **550.0** | **537.8** | **543.4** |
These are the binary-of-DNA frequencies (not solfeggio alone). `genome_to_stack(seq)`
lifts a whole sequence into a stacked complex manifold; `coherence_report(stack)`
returns its logical-vs-harmonic energy balance and confirms perpendicularity.
## 4. Analog + digital, in one substrate
The same complex sample is digital on the real axis and analog on the imaginary
axis. Under **PHASE** code a 1-bit rotates fully onto the harmonic axis,
perpendicular to a 0-bit on the logical axis. This is realised at the wire level
by the **alternating-endianness bit→waveform** codec and the **SMES**
(Superconducting Magnetic Energy Storage) hardware-in-code model, and used as the
transport substrate of the harmonic routing protocol — see
`dragon_protocol/HARMONIC_ROUTING_PROTOCOL.md`.
## 5. Verification
| Property | Check | Result |
|----------|-------|--------|
| 90° axis orthogonality | `axes_perpendicularity_error()` | **0.0** |
| Exact base frequencies on imag axis | `from_base('A'/'G'/'C'/'T').potency` | **545.6 / 550 / 537.8 / 543.4** |
| Arbitrary dimensionality | `StackedVector.lift(...)` | dimension n → n+1, lower planes preserved |
| Capability-suite coverage | `tests/test_all_capabilities.py::genome_compiler` + UVNS checks | PASS |
## 6. Status & roadmap
- **Done:** UVNS substrate, perpendicular axes, exact-frequency base mapping,
stacked-manifold lift — all validated.
- **In progress (carry-over):** `audio_genomics_integration.py` — synthesise the
genomic chord from `hz_em` and score **consonance as a health metric** ("if it
is functioning well, the harmonics sound good"); and **Zeeman** g-factor
splitting of each base tone, processed through UVNS planes.
⚓
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