Instructions to use aedmark/vsl-cryosomatic-hypervisor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use aedmark/vsl-cryosomatic-hypervisor with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="aedmark/vsl-cryosomatic-hypervisor", filename="vsl-max-v2.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use aedmark/vsl-cryosomatic-hypervisor with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: ./llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: ./build/bin/llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Use Docker
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor
- LM Studio
- Jan
- Ollama
How to use aedmark/vsl-cryosomatic-hypervisor with Ollama:
ollama run hf.co/aedmark/vsl-cryosomatic-hypervisor
- Unsloth Studio new
How to use aedmark/vsl-cryosomatic-hypervisor with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
- Pi new
How to use aedmark/vsl-cryosomatic-hypervisor with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf aedmark/vsl-cryosomatic-hypervisor
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "aedmark/vsl-cryosomatic-hypervisor" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use aedmark/vsl-cryosomatic-hypervisor with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf aedmark/vsl-cryosomatic-hypervisor
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default aedmark/vsl-cryosomatic-hypervisor
Run Hermes
hermes
- Docker Model Runner
How to use aedmark/vsl-cryosomatic-hypervisor with Docker Model Runner:
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor
- Lemonade
How to use aedmark/vsl-cryosomatic-hypervisor with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aedmark/vsl-cryosomatic-hypervisor
Run and chat with the model
lemonade run user.vsl-cryosomatic-hypervisor-{{QUANT_TAG}}List all available models
lemonade list
| from typing import Dict, Any, Set | |
| from bone_core import EventBus, LoreManifest | |
| from bone_akashic import TheAkashicRecord | |
| from bone_machine import BoneArchitect | |
| from bone_soul import NarrativeSelf, TheOroboros | |
| from bone_village import TownHall, DeathGen, TheCartographer, TheTinkerer | |
| from bone_inventory import GordonKnot | |
| from bone_protocols import TheBureau, ZenGarden, TheCriticsCircle, TherapyProtocol, KintsugiProtocol, LimboLayer | |
| from bone_symbiosis import SymbiosisManager | |
| from bone_spores import LiteraryReproduction | |
| from bone_drivers import DriverRegistry, BoneConsultant | |
| class BoneGenesis: | |
| def ignite( | |
| config: Dict[str, Any], lexicon_ref: Any, events_ref: Any = None | |
| ) -> Dict[str, Any]: | |
| events = events_ref or EventBus() | |
| if events_ref: | |
| events.log("Igniting Genesis Sequence...", "GENESIS") | |
| else: | |
| print("...Igniting Genesis Sequence...") | |
| lore = LoreManifest() | |
| akashic = TheAkashicRecord(lore_manifest=lore, events_ref=events) | |
| akashic.setup_listeners(events) | |
| embryo = BoneArchitect.incubate(events, lexicon_ref) | |
| embryo = BoneArchitect.awaken(embryo) | |
| mode_settings = config.get("mode_settings", {}) | |
| suppressed = set(mode_settings.get("village_suppression", [])) | |
| boot_mode = config.get("boot_mode", "ADVENTURE") | |
| village_bundle = BoneGenesis._summon_village( | |
| events, embryo, akashic, suppressed, boot_mode | |
| ) | |
| soul = NarrativeSelf( | |
| engine_ref=None, | |
| events_ref=events, | |
| memory_ref=embryo.mind.mem, | |
| akashic_ref=akashic, | |
| ) | |
| if embryo.soul_legacy: | |
| soul.load_from_dict(embryo.soul_legacy) | |
| oroboros = TheOroboros() | |
| if hasattr(embryo.physics, "observer"): | |
| dummy_phys = {"narrative_drag": 0.0, "voltage": 10.0} | |
| live_bio_state = embryo.bio.to_dict() | |
| logs = oroboros.apply_legacy(dummy_phys, live_bio_state) | |
| if logs: | |
| events.log(f"⛓️ LEGACY SCARS: {', '.join(logs)}", "OROBOROS") | |
| if getattr(embryo.physics, "dynamics", None): | |
| embryo.physics.dynamics.base_drag += dummy_phys["narrative_drag"] | |
| if embryo.bio.biometrics: | |
| biometrics = live_bio_state.get("biometrics", {}) | |
| embryo.bio.biometrics.health = biometrics.get("health", 100.0) | |
| embryo.bio.biometrics.stamina = biometrics.get("stamina", 100.0) | |
| if embryo.bio.mito: | |
| embryo.bio.mito.state.atp_pool = live_bio_state.get("mito", {}).get("atp", 60.0) | |
| drivers = DriverRegistry(events) | |
| symbiosis = SymbiosisManager(events) | |
| return { | |
| "events": events, | |
| "akashic": akashic, | |
| "embryo": embryo, | |
| "village": village_bundle, | |
| "soul": soul, | |
| "oroboros": oroboros, | |
| "drivers": drivers, | |
| "consultant": village_bundle["consultant"], | |
| "symbiosis": symbiosis, | |
| } | |
| def _summon_village( | |
| events, embryo, akashic, suppressed: Set[str], boot_mode: str = "ADVENTURE" | |
| ) -> Dict[str, Any]: | |
| gordon = ( | |
| GordonKnot(events=events, mode=boot_mode) | |
| if "GORDON" not in suppressed | |
| else None | |
| ) | |
| navigator = TheCartographer(embryo.shimmer) if {"CARTOGRAPHER", "NAVIGATOR"}.isdisjoint(suppressed) else None | |
| tinkerer = TheTinkerer(gordon, events, akashic) if "TINKERER" not in suppressed else None | |
| bureau = TheBureau() if "BUREAU" not in suppressed else None | |
| death_gen = None | |
| if "DEATH" not in suppressed: | |
| death_gen = DeathGen() | |
| DeathGen.load_protocols() | |
| town_hall = TownHall(gordon, events, embryo.shimmer, akashic, navigator) | |
| repro = LiteraryReproduction() | |
| LiteraryReproduction.load_genetics() | |
| zen = ZenGarden(events) | |
| critics = TheCriticsCircle(events) | |
| therapy = TherapyProtocol() | |
| limbo = LimboLayer() | |
| kintsugi = KintsugiProtocol() | |
| consultant = BoneConsultant() | |
| return { | |
| "gordon": gordon, | |
| "navigator": navigator, | |
| "tinkerer": tinkerer, | |
| "death_gen": death_gen, | |
| "bureau": bureau, | |
| "town_hall": town_hall, | |
| "repro": repro, | |
| "zen": zen, | |
| "critics": critics, | |
| "therapy": therapy, | |
| "limbo": limbo, | |
| "kintsugi": kintsugi, | |
| "consultant": consultant, | |
| } | |