Instructions to use BrinqAI/functiongemma-270m-physical-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BrinqAI/functiongemma-270m-physical-ai with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="BrinqAI/functiongemma-270m-physical-ai",
	filename="functiongemma-physical-ai-Q4_K_M.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 BrinqAI/functiongemma-270m-physical-ai with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BrinqAI/functiongemma-270m-physical-ai:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf BrinqAI/functiongemma-270m-physical-ai:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BrinqAI/functiongemma-270m-physical-ai:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf BrinqAI/functiongemma-270m-physical-ai: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 BrinqAI/functiongemma-270m-physical-ai:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf BrinqAI/functiongemma-270m-physical-ai: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 BrinqAI/functiongemma-270m-physical-ai:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BrinqAI/functiongemma-270m-physical-ai:Q4_K_M

Use Docker

docker model run hf.co/BrinqAI/functiongemma-270m-physical-ai:Q4_K_M

LM Studio
Jan

vLLM

How to use BrinqAI/functiongemma-270m-physical-ai with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BrinqAI/functiongemma-270m-physical-ai"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BrinqAI/functiongemma-270m-physical-ai",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/BrinqAI/functiongemma-270m-physical-ai:Q4_K_M

Ollama
How to use BrinqAI/functiongemma-270m-physical-ai with Ollama:
```
ollama run hf.co/BrinqAI/functiongemma-270m-physical-ai:Q4_K_M
```

Unsloth Studio new

How to use BrinqAI/functiongemma-270m-physical-ai 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 BrinqAI/functiongemma-270m-physical-ai 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 BrinqAI/functiongemma-270m-physical-ai to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for BrinqAI/functiongemma-270m-physical-ai to start chatting

Pi new

How to use BrinqAI/functiongemma-270m-physical-ai with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf BrinqAI/functiongemma-270m-physical-ai: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": "BrinqAI/functiongemma-270m-physical-ai:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use BrinqAI/functiongemma-270m-physical-ai with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf BrinqAI/functiongemma-270m-physical-ai: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 BrinqAI/functiongemma-270m-physical-ai:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use BrinqAI/functiongemma-270m-physical-ai with Docker Model Runner:
```
docker model run hf.co/BrinqAI/functiongemma-270m-physical-ai:Q4_K_M
```

Lemonade

How to use BrinqAI/functiongemma-270m-physical-ai with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BrinqAI/functiongemma-270m-physical-ai:Q4_K_M

Run and chat with the model

lemonade run user.functiongemma-270m-physical-ai-Q4_K_M

List all available models

lemonade list

hmahadik commited on 18 days ago

Commit

85c8c4c

verified ·

1 Parent(s): c3ed491

chore: tools.json for v6 (11 tools)

Browse files

Files changed (1) hide show

tools.json +7 -45

tools.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "version": "0.1.0",
-  "description": "Physical AI tool schema (lights, buzzer, alarms, camera, system status, plus respond fallback). Canonical mobile-actions format.",
   "tools": [
     {
       "function": {
@@ -42,9 +42,7 @@
               "description": "Brightness 0-100. Optional, default 100."
             }
           },
-          "required": [
-            "color"
-          ]
         }
       }
     },
@@ -91,16 +89,14 @@
               "description": "One of 'slow', 'normal', 'fast'. Default 'normal'."
             }
           },
-          "required": [
-            "pattern"
-          ]
         }
       }
     },
     {
       "function": {
         "name": "play_buzzer",
-        "description": "Play a named pattern on a piezo buzzer wired to a binary GPIO. Only timed patterns are supported — no tunable frequency.",
         "parameters": {
           "type": "OBJECT",
           "properties": {
@@ -109,9 +105,7 @@
               "description": "Named pattern: 'beep', 'double_beep', 'siren', 'chirp', 'alarm', 'success', 'error'."
             }
           },
-          "required": [
-            "pattern"
-          ]
         }
       }
     },
@@ -178,36 +172,6 @@
         }
       }
     },
-    {
-      "function": {
-        "name": "capture_photo",
-        "description": "Capture a photo from the MIPI camera on the HAT.",
-        "parameters": {
-          "type": "OBJECT",
-          "properties": {
-            "save_as": {
-              "type": "STRING",
-              "description": "Optional filename. Default timestamp-based."
-            }
-          }
-        }
-      }
-    },
-    {
-      "function": {
-        "name": "describe_scene",
-        "description": "Capture a photo and describe what is visible using the Gemma3 vision model on Torq NPU.",
-        "parameters": {
-          "type": "OBJECT",
-          "properties": {
-            "question": {
-              "type": "STRING",
-              "description": "Optional question about the scene. Default: 'What do you see?'"
-            }
-          }
-        }
-      }
-    },
     {
       "function": {
         "name": "respond",
@@ -220,11 +184,9 @@
               "description": "The natural-language reply to show to the user."
             }
           },
-          "required": [
-            "message"
-          ]
         }
       }
     }
   ]
-}

 {
   "version": "0.1.0",
+  "description": "Physical AI tool schema for Coral Dev Board (SL2619) FunctionGemma demo. Canonical mobile-actions format.",
   "tools": [
     {
       "function": {
               "description": "Brightness 0-100. Optional, default 100."
             }
           },
+          "required": ["color"]
         }
       }
     },
               "description": "One of 'slow', 'normal', 'fast'. Default 'normal'."
             }
           },
+          "required": ["pattern"]
         }
       }
     },
     {
       "function": {
         "name": "play_buzzer",
+        "description": "Play a named pattern on the piezo buzzer on the HAT. The buzzer is binary GPIO on the Coral Dev Board (BUZZERn), so only timed patterns are supported — no tunable frequency.",
         "parameters": {
           "type": "OBJECT",
           "properties": {
               "description": "Named pattern: 'beep', 'double_beep', 'siren', 'chirp', 'alarm', 'success', 'error'."
             }
           },
+          "required": ["pattern"]
         }
       }
     },
         }
       }
     },
     {
       "function": {
         "name": "respond",
               "description": "The natural-language reply to show to the user."
             }
           },
+          "required": ["message"]
         }
       }
     }
   ]
+}