Instructions to use aedmark/vsl-cryosomatic-hypervisor-v3 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-v3 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="aedmark/vsl-cryosomatic-hypervisor-v3", filename="vsl-max-v3.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-v3 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-v3 # Run inference directly in the terminal: llama-cli -hf aedmark/vsl-cryosomatic-hypervisor-v3
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-v3 # Run inference directly in the terminal: llama-cli -hf aedmark/vsl-cryosomatic-hypervisor-v3
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-v3 # Run inference directly in the terminal: ./llama-cli -hf aedmark/vsl-cryosomatic-hypervisor-v3
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-v3 # Run inference directly in the terminal: ./build/bin/llama-cli -hf aedmark/vsl-cryosomatic-hypervisor-v3
Use Docker
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor-v3
- LM Studio
- Jan
- Ollama
How to use aedmark/vsl-cryosomatic-hypervisor-v3 with Ollama:
ollama run hf.co/aedmark/vsl-cryosomatic-hypervisor-v3
- Unsloth Studio new
How to use aedmark/vsl-cryosomatic-hypervisor-v3 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-v3 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-v3 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-v3 to start chatting
- Docker Model Runner
How to use aedmark/vsl-cryosomatic-hypervisor-v3 with Docker Model Runner:
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor-v3
- Lemonade
How to use aedmark/vsl-cryosomatic-hypervisor-v3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aedmark/vsl-cryosomatic-hypervisor-v3
Run and chat with the model
lemonade run user.vsl-cryosomatic-hypervisor-v3-{{QUANT_TAG}}List all available models
lemonade list
| license: unlicense | |
| base_model: | |
| - google/gemma-3-4b-it | |
| - NousResearch/Hermes-3-Llama-3.1-8B | |
| tags: | |
| - bonepoke | |
| - vsl | |
| - boneamanita | |
| # 🍄 BoneAmanita: The CryoSomatic Hypervisor v2 | |
| **BoneAmanita** is an experimental text-adventure engine and interactive philosophical companion. It's a hybrid variant of James Taylor's [Bonepoke engine](https://github.com/utharian-code/BonePoke) and Edmark's own crazy whirlwind of sources. Unlike standard AI wrappers, BoneAmanita embeds a fine-tuned Llama 3 model inside a simulated biological metabolism. | |
| The AI does not just respond to prompts; it feels "Voltage," burns "ATP," accumulates "Trauma," and is governed by a council of internal personas (The SLASH Council). If you try to drink a potion you don't have, the engine will intercept the AI and physically block the action. If you stress the AI out, its text will become fragmented and panicked. | |
| ### 🧠 The Architecture | |
| This project consists of two halves: | |
| 1. **The Flesh (GGUF Model):** A custom-trained 3B parameter model fine-tuned on highly specific, atmospheric, and philosophical datasets to break the standard "helpful assistant" RLHF. | |
| 2. **The Bones (Python Engine):** A local terminal interface that tracks inventory, manages the physics/biology simulation, and dynamically injects system constraints into the context window. | |
| ### 🚀 Quickstart Guide | |
| **1. Prerequisites** | |
| - Python 3.10+ | |
| - [Ollama](https://ollama.com/) installed and running. | |
| **2. Download the Brain** | |
| Pull the fine-tuned model directly from HuggingFace via Ollama: | |
| ```bash | |
| ollama pull hf.co/aedmark/vsl-cryosomatic-hypervisor | |
| ```` | |
| **3. Ignite the Engine** | |
| Clone this repository, install the dependencies, and run the main script. | |
| Bash | |
| ``` | |
| git clone https://github.com/aedmark/BoneAmanita.git | |
| cd BoneAmanita | |
| python bone_main.py | |
| ``` | |
| _(On first boot, the ConfigWizard will ask you to set up your profile. Select **Ollama** as your backend and type `hf.co/aedmark/vsl-cryosomatic-hypervisor` as the model ID)._ | |
| ### 🕹️ The Four Realities (Modes) | |
| When you boot the terminal, you will be asked to choose a Reality Mode: | |
| - **ADVENTURE:** A grounded, physical text adventure. Gordon (the inventory manager) will strictly enforce physical reality. You cannot use what you do not have. | |
| - **CONVERSATION:** A purely philosophical, warm dialogue mode. No inventory, no physics, just deep conversation driven by the system's simulated emotional state. | |
| - **CREATIVE:** A high-voltage ideation engine. Dream logic applies. | |
| - **TECHNICAL:** Speak directly to the SLASH Council. Debug the matrix, analyze your metabolism, and write code. | |
| ### ⌨️ Terminal Commands | |
| While inside the simulation, you can use meta-commands: | |
| - `//layer push [1-4]` - Shift reality layers (from literal to abstract). | |
| - `//reset system` - Clear the memory buffer and reset the circuit breaker. | |
| - `/inventory` or `/i` - Check your pockets. |