Instructions to use AaryanK/ModelGate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AaryanK/ModelGate with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AaryanK/ModelGate",
	filename="ModelGate-Router.Q8_0.gguf",
)

llm.create_chat_completion(
	messages = "\"I like you. I love you\""
)

llama-cpp-python

How to use AaryanK/ModelGate with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AaryanK/ModelGate",
	filename="ModelGate-Router.Q8_0.gguf",
)

llm.create_chat_completion(
	messages = "\"I like you. I love you\""
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use AaryanK/ModelGate with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AaryanK/ModelGate:Q8_0
# Run inference directly in the terminal:
llama-cli -hf AaryanK/ModelGate:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AaryanK/ModelGate:Q8_0
# Run inference directly in the terminal:
llama-cli -hf AaryanK/ModelGate:Q8_0

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 AaryanK/ModelGate:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf AaryanK/ModelGate:Q8_0

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 AaryanK/ModelGate:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AaryanK/ModelGate:Q8_0

Use Docker

docker model run hf.co/AaryanK/ModelGate:Q8_0

LM Studio
Jan
Ollama
How to use AaryanK/ModelGate with Ollama:
```
ollama run hf.co/AaryanK/ModelGate:Q8_0
```

Unsloth Studio new

How to use AaryanK/ModelGate 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 AaryanK/ModelGate 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 AaryanK/ModelGate to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AaryanK/ModelGate to start chatting

Pi new

How to use AaryanK/ModelGate with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf AaryanK/ModelGate:Q8_0

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": "AaryanK/ModelGate:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AaryanK/ModelGate with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf AaryanK/ModelGate:Q8_0

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 AaryanK/ModelGate:Q8_0

Run Hermes

hermes

Docker Model Runner
How to use AaryanK/ModelGate with Docker Model Runner:
```
docker model run hf.co/AaryanK/ModelGate:Q8_0
```

Lemonade

How to use AaryanK/ModelGate with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AaryanK/ModelGate:Q8_0

Run and chat with the model

lemonade run user.ModelGate-Q8_0

List all available models

lemonade list

AaryanK commited on Mar 22

Commit

dd94c69

verified ·

1 Parent(s): c7d613a

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +23 -0

README.md CHANGED Viewed

@@ -102,6 +102,29 @@ We fine-tuned ModelGate-Router (based on Arch-Router-1.5B) using GRPO to fix a c
 - **Eval:** 54 held-out prompts, zero overlap with training data
 - **Download:** [ModelGate-Router on HuggingFace](https://huggingface.co/AaryanK/ModelGate)
 ## How It Works
 ```

 - **Eval:** 54 held-out prompts, zero overlap with training data
 - **Download:** [ModelGate-Router on HuggingFace](https://huggingface.co/AaryanK/ModelGate)
+## Screenshots
+### Platform Dashboard
+Real-time monitoring of routing decisions, cost savings, model distribution, and request volume.
+<p align="center">
+  <img src="screenshot.png" alt="ModelGate Dashboard" width="100%"/>
+</p>
+### Model Registry
+Browse the OpenRouter catalog and toggle models on/off with one click. Configure which models power your routing.
+<p align="center">
+  <img src="screenshot_2.png" alt="Model Registry" width="100%"/>
+</p>
+### Customer Onboarding
+Upload a contract, review the AI-extracted profile, and start routing - all in under 30 seconds.
+<p align="center">
+  <img src="screenshot_3.png" alt="Customer Onboarding" width="100%"/>
+</p>
 ## How It Works
 ```