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 requirements.txt from transmutationist/xero-bio-genesis: direct link, hf CLI and curl.
- Browser
- Download file 476 Bytes
-
https://huggingface.co/transmutationist/xero-bio-genesis/resolve/main/requirements.txt
- Command line
-
hf download hf://transmutationist/xero-bio-genesis/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/transmutationist/xero-bio-genesis/resolve/main/requirements.txt
476 Bytes
| # XERO Bio-AI Genesis - Requirements | |
| # Author: Michael Laurence Curzi | |
| # Install: pip install -r requirements.txt | |
| # Core ML | |
| torch>=2.0.0 | |
| transformers>=4.40.0 | |
| accelerate>=0.27.0 | |
| safetensors>=0.4.0 | |
| # Quantization (optional, for lower VRAM) | |
| bitsandbytes>=0.42.0 | |
| # System monitoring | |
| psutil>=5.9.0 | |
| # Configuration | |
| pyyaml>=6.0 | |
| # Utilities | |
| tqdm>=4.65.0 | |
| numpy>=1.24.0 | |
| # HuggingFace integration | |
| huggingface_hub>=0.20.0 | |
| # Blockchain (optional) | |
| # web3>=6.0.0 | |
| # eth-account>=0.10.0 | |