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: 1,767 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 | #!/usr/bin/env bash
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# XERO interface β remote launcher (token-gated, public bind).
# Author: Michael Laurence Curzi β ZEDEC AI / 36N9 Genetics LLC Β· MIT (Attrib.)
# Usage: run_remote.sh [PORT] (default 8893)
# Stops any existing server BY PORT (never by process name, so it can't match
# and kill the shell/SSH session that is running this script).
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
set -u
PORT="${1:-8893}"
APP="$HOME/xero"
cd "$APP" || { echo "FATAL: $APP missing"; exit 1; }
# stop whatever is listening on PORT (port-based, name-agnostic)
pid="$(ss -ltnp 2>/dev/null | grep ":$PORT " | grep -oE 'pid=[0-9]+' | head -1 | cut -d= -f2)"
if [ -n "${pid:-}" ]; then kill "$pid" 2>/dev/null || true; sleep 1; fi
TOKEN="$(cat "$HOME/.xero/chat_token" 2>/dev/null || true)"
export XERO_CHAT_TOKEN="$TOKEN"
export PYTHONPATH=modules
nohup setsid python3 serve/xero_chat_server.py --host 0.0.0.0 --port "$PORT" \
> "$APP/server.log" 2>&1 < /dev/null &
sleep 3
echo "pids: $(pgrep -f 'serve/xero_chat_server.py' | paste -sd, - || echo none)"
echo "listen: $(ss -ltn 2>/dev/null | grep ":$PORT " || echo NONE)"
echo "auth: $([ -n "$TOKEN" ] && echo on || echo OFF)"
echo "health: $(curl -s -m 6 "http://127.0.0.1:$PORT/api/health" || echo FAIL)"
echo "--- server.log (tail) ---"
tail -n 15 "$APP/server.log" 2>/dev/null
|