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
Download serve/run_remote.sh from transmutationist/xero-bio-genesis: direct link, hf CLI and curl.
- Browser
- Download file 1.77 kB
-
https://huggingface.co/transmutationist/xero-bio-genesis/resolve/main/serve/run_remote.sh
- Command line
-
hf download hf://transmutationist/xero-bio-genesis/serve/run_remote.sh
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curl -L -o run_remote.sh https://huggingface.co/transmutationist/xero-bio-genesis/resolve/main/serve/run_remote.sh
1.77 kB
| # 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 | |