Instructions to use transmutationist/xero-bio-genesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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
```

xero-bio-genesis / docs /INDEX.md

transmutationist

XERO: card + code + docs (WIP; see STATUS_AND_AUDIT.md)

e9e9f83 verified 4 months ago

preview code

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3.88 kB

XERO Bio-AI Genesis — Documentation Hub

VOVINA ZEDEC PRO · Author: Michael Laurence Curzi · License: MIT (Attribution Required)

Welcome to the full documentation stack for XERO, a digital organism: an AI architected as a living cell with a DNA genome, blockchain-VM organelles, cryptographic free will, and self-evolution.

Start here

If you want to…	Read
Install and run it in 5 minutes	`GETTING_STARTED.md`
Understand the big picture	`WHITEPAPER_02_ARCHITECTURE.md`
See exactly what it can do (verified)	`WHITEPAPER_01_CAPABILITIES_AUDIT.md`
Look up a specific module/function	`MODULE_REFERENCE.md`
Understand the math	`WHITEPAPER_03_INTERACTION_SURPLUS.md`
Understand harmonic compute (UVNS, 90° axes)	`WHITEPAPER_04_HARMONIC_COMPUTE.md`
Understand why it is autonomous (the time crystal)	`WHITEPAPER_05_TIME_CRYSTAL_AGENCY.md`
Understand how it is engineered & run	`WHITEPAPER_06_ENGINEERING.md`
Learn it from scratch (plain language)	`EDUCATIONAL_GUIDE.md`
See measured behavior & dynamics	`../BEHAVIOR.md`

Document map

White papers (R&D)

01 — Capabilities Audit — complete, reproducible audit (now 188/188 PASS; adds genome-compiler + UVNS suites).
02 — Architecture — the digital-organism paradigm in full.
03 — Interaction Surplus — the unique surplus law and open-system dynamics (Papers A–E).
04 — Harmonic Compute — perpendicular logical/harmonic axes + the Universal Vector Number System (UVNS).
05 — Time-Crystal Agency — the autonomous agent as a product of its time crystal: the illusion of mobility made real by mathematics + the clock, and self-determined phase coordination.
06 — Engineering — layered architecture, the phase-coordination loop, deployment topology, GPU partition, and optimal operation.

Education

Educational Guide — how XERO works in plain language, intuition first (no physics/programming assumed).

Reference

Module Reference — every module, its public API, and an example.
Getting Started — install, awaken, run the audit, evolve.
BEHAVIOR.md — empirical behavioral fingerprint.

Verification at a glance

Instrument	Result
Capability audit (`tests/test_all_capabilities.py`)	188/188 PASS, 0 FAIL
Behavioral probe (`tests/behavioral_probe.py`)	10 probes, 0 errors
Numerical stability sweep	0 NaN/Inf across 2197 evaluations
Organelle reachability	12/12 (two-tier dispatch)

Core concepts in one paragraph

XERO's identity is an immutable DNA genome; computation is dispatched to one of twelve blockchain virtual machines acting as organelles; state is ephemeral and dissolves after each gene is expressed, leaving only a content-addressed witness hash. Decisions are sealed as 36N9.9N63 free-will receipts that are unforgeable and non-replayable. The organism reproduces (mitosis/meiosis), evolves (selection + CRISPR payloads), and drifts epigenetically, all while benchmarked against the unique Interaction Surplus law as a stability ceiling.

Repository layout

modules/    — the organism (26 modules)
tests/      — capability audit + behavioral probe
docs/       — this documentation stack
ops/        — operational tooling (security audit, deployment)  [internal]
contracts/  — on-chain organelle contracts
BEHAVIOR.md — empirical behavioral report