Instructions to use rockypod/neotoi-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rockypod/neotoi-coder with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="rockypod/neotoi-coder",
	filename="neotoi-coder-v1-q4_k_m_final.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use rockypod/neotoi-coder with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf rockypod/neotoi-coder:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf rockypod/neotoi-coder:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf rockypod/neotoi-coder:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf rockypod/neotoi-coder:Q4_K_M

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 rockypod/neotoi-coder:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf rockypod/neotoi-coder:Q4_K_M

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 rockypod/neotoi-coder:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf rockypod/neotoi-coder:Q4_K_M

Use Docker

docker model run hf.co/rockypod/neotoi-coder:Q4_K_M

LM Studio
Jan

vLLM

How to use rockypod/neotoi-coder with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/rockypod/neotoi-coder:Q4_K_M

Ollama
How to use rockypod/neotoi-coder with Ollama:
```
ollama run hf.co/rockypod/neotoi-coder:Q4_K_M
```

Unsloth Studio new

How to use rockypod/neotoi-coder 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 rockypod/neotoi-coder 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 rockypod/neotoi-coder to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for rockypod/neotoi-coder to start chatting

Pi new

How to use rockypod/neotoi-coder with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf rockypod/neotoi-coder:Q4_K_M

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": "rockypod/neotoi-coder:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use rockypod/neotoi-coder with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf rockypod/neotoi-coder:Q4_K_M

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 rockypod/neotoi-coder:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use rockypod/neotoi-coder with Docker Model Runner:
```
docker model run hf.co/rockypod/neotoi-coder:Q4_K_M
```

Lemonade

How to use rockypod/neotoi-coder with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull rockypod/neotoi-coder:Q4_K_M

Run and chat with the model

lemonade run user.neotoi-coder-Q4_K_M

List all available models

lemonade list

rockypod commited on Mar 25

Commit

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1 Parent(s): 5dc95da

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	@@ -0,0 +1,34 @@

+# Neotoi Coder Community License v1.0
+Copyright (c) 2026 Kevin Miller, Jr.
+## Permitted Uses
+- Use the model weights for personal, research, and commercial inference
+- Use model outputs (generated code, text) in any project, including commercial products
+- Fine-tune the model for personal or internal use
+## Restrictions
+1. **No weight redistribution.** You may not publish, distribute, sublicense, or share
+   the model weights (in any format, quantization, or derivative) without written
+   permission from the copyright holder.
+2. **No mental health deployment.** You may not deploy this model in any application
+   primarily intended to provide mental health support, therapy, crisis intervention,
+   or emotional counseling without written permission from the copyright holder.
+3. **Attribution.** Any public product or research paper that makes substantial use of
+   this model must credit "Neotoi Coder v1 by Kevin Miller, Jr." and link to the
+   original HuggingFace repository.
+## Disclaimer
+THIS MODEL IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED.
+THE COPYRIGHT HOLDER SHALL NOT BE LIABLE FOR ANY DAMAGES ARISING FROM USE OF THIS
+MODEL OR ITS OUTPUTS.
+## Contact
+For commercial licensing, redistribution rights, or mental health deployment
+permission, contact the author via HuggingFace.