Instructions to use aedmark/vsl-cryosomatic-hypervisor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

vsl-cryosomatic-hypervisor / lore /footnotes.json

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	{
	"DEFAULT":[
	"* [Citation Needed]",
	"* The turtle moves.",
	"* This is technically impossible, but the code doesn't know that.",
	"* Do not eat the green wobbly bit.",
	"* Gravity is a habit that is hard to shake.",
	"* As reliable as a chocolate teapot.",
	"* The system regrets nothing.",
	"* This output is purely decorative.",
	"* Please do not tap on the glass.",
	"* A wizard did it."
	],
	"CONTEXT_MAP":{
	"void":[
	"* Not to be confused with the other kind of void.",
	"* If you gaze long enough, it might ask for a snack."
	],
	"gravity":[
	"* Gravity is a habit that is hard to shake.",
	"* Down is just a suggestion."
	],
	"physics":[
	"* Newtonian rules apply only on alternate Tuesdays.",
	"* Friction is just the universe hugging you too hard."
	],
	"glitch":[
	"* Do not eat the green wobbly bit.",
	"* Have you tried turning the universe off and on again?"
	],
	"error":[
	"* As reliable as a chocolate teapot.",
	"* The architect denies responsibility."
	],
	"system":[
	"* The turtle moves.",
	"* Beep boop."
	],
	"bureau":[
	"* Form 27B-6 is mandatory.",
	"* The paperwork is expanding to fill the available space."
	],
	"voltage":[
	"* Please keep arms and legs inside the vehicle.",
	"* It smells like ozone and bad decisions."
	],
	"drag":[
	"* Trudging through molasses in January.",
	"* The resistance is futile, but annoying."
	],
	"council":[
	"* Democracy is two wolves and a sheep voting on lunch.",
	"* The motion carries, but the chair is grumpy."
	]
	}
	}