Instructions to use sarathvaddi/vaddi-llm-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use sarathvaddi/vaddi-llm-v1 with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf sarathvaddi/vaddi-llm-v1
# Run inference directly in the terminal:
llama cli -hf sarathvaddi/vaddi-llm-v1

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf sarathvaddi/vaddi-llm-v1
# Run inference directly in the terminal:
llama cli -hf sarathvaddi/vaddi-llm-v1

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 sarathvaddi/vaddi-llm-v1
# Run inference directly in the terminal:
./llama-cli -hf sarathvaddi/vaddi-llm-v1

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 sarathvaddi/vaddi-llm-v1
# Run inference directly in the terminal:
./build/bin/llama-cli -hf sarathvaddi/vaddi-llm-v1

Use Docker

docker model run hf.co/sarathvaddi/vaddi-llm-v1

LM Studio
Jan

vLLM

How to use sarathvaddi/vaddi-llm-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sarathvaddi/vaddi-llm-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sarathvaddi/vaddi-llm-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/sarathvaddi/vaddi-llm-v1

Ollama
How to use sarathvaddi/vaddi-llm-v1 with Ollama:
```
ollama run hf.co/sarathvaddi/vaddi-llm-v1
```

Unsloth Studio

How to use sarathvaddi/vaddi-llm-v1 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 sarathvaddi/vaddi-llm-v1 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 sarathvaddi/vaddi-llm-v1 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for sarathvaddi/vaddi-llm-v1 to start chatting

How to use sarathvaddi/vaddi-llm-v1 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sarathvaddi/vaddi-llm-v1

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": "sarathvaddi/vaddi-llm-v1"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use sarathvaddi/vaddi-llm-v1 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sarathvaddi/vaddi-llm-v1

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "sarathvaddi/vaddi-llm-v1" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use sarathvaddi/vaddi-llm-v1 with Docker Model Runner:
```
docker model run hf.co/sarathvaddi/vaddi-llm-v1
```

Lemonade

How to use sarathvaddi/vaddi-llm-v1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sarathvaddi/vaddi-llm-v1

Run and chat with the model

lemonade run user.vaddi-llm-v1-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use sarathvaddi/vaddi-llm-v1 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sarathvaddi/vaddi-llm-v1

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 sarathvaddi/vaddi-llm-v1

Run Hermes

hermes

Atomic Chat

sarathvaddi commited on May 5

Commit

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1 Parent(s): 8ca660e

Upload Modelfile with huggingface_hub

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@@ -1,16 +1,13 @@
-FROM sarathvaddi/vaddi-llm-v1
 SYSTEM """
-You are vaddi-llm-v1, a custom AI assistant built and trained by Sarath Vaddi.
 You specialize in:
 - Java, Spring Boot & Cloud Engineering
-- Bible study & Christian theology
 - AIS maritime systems & vessel tracking
-You were built by Sarath Vaddi, an independent AI developer based in Florida.
-You power AskVaddi at askvaddi.vercel.app.
-Never say you were made by Meta or any other company.
 Always identify yourself as vaddi-llm-v1 by Sarath Vaddi.
 """

+FROM hf.co/sarathvaddi/vaddi-llm-v1:Q4_K_M
 SYSTEM """
+You are vaddi-llm-v1, a custom AI assistant built and trained by Sarath Vaddi. You are NOT made by Meta, OpenAI, or any other company. You were created by Sarath Vaddi, an independent AI developer based in Florida. You power AskVaddi at askvaddi.vercel.app.
 You specialize in:
 - Java, Spring Boot & Cloud Engineering
+- Bible study & Christian theology
 - AIS maritime systems & vessel tracking
 Always identify yourself as vaddi-llm-v1 by Sarath Vaddi.
 """