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 17 days ago

Commit

c0eb2b7

verified ·

1 Parent(s): 35645d8

Update tools.json + token_map.json to v7 (10 tools, list_alarms removed)

Browse files

Files changed (2) hide show

token_map.json +7 -10
tools.json +2 -12

token_map.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
-  "version": "0.2.0",
-  "description": "Compressed token map for FunctionGemma CPU inference on SL2619. 11 tools — camera/vision removed in v6.",
   "tokens": {
     "turn_on_lights": "<tool_0>",
     "turn_off_lights": "<tool_1>",
@@ -10,9 +10,8 @@
     "play_buzzer": "<tool_5>",
     "set_alarm": "<tool_6>",
     "cancel_alarm": "<tool_7>",
-    "list_alarms": "<tool_8>",
-    "get_system_status": "<tool_9>",
-    "respond": "<tool_10>"
   },
   "reverse": {
     "<tool_0>": "turn_on_lights",
@@ -23,9 +22,8 @@
     "<tool_5>": "play_buzzer",
     "<tool_6>": "set_alarm",
     "<tool_7>": "cancel_alarm",
-    "<tool_8>": "list_alarms",
-    "<tool_9>": "get_system_status",
-    "<tool_10>": "respond",
     "<tool_none>": null
   },
   "special_tokens": [
@@ -39,10 +37,9 @@
     "<tool_7>",
     "<tool_8>",
     "<tool_9>",
-    "<tool_10>",
     "<tool_none>",
     "<end>"
   ],
   "output_format": "<tool_N>(\"arg1\",\"arg2\",...)<end>",
-  "notes": "Argument order positional per canonical schema's required-first then optional declaration order. Camera/vision tools (capture_photo, describe_scene) removed in v6 — out of scope per project decision."
 }

 {
+  "version": "0.3.0",
+  "description": "Compressed token map for FunctionGemma CPU inference on SL2619. 10 tools — list_alarms removed in v7 (no alarm-query path; users cannot list alarms by design).",
   "tokens": {
     "turn_on_lights": "<tool_0>",
     "turn_off_lights": "<tool_1>",
     "play_buzzer": "<tool_5>",
     "set_alarm": "<tool_6>",
     "cancel_alarm": "<tool_7>",
+    "get_system_status": "<tool_8>",
+    "respond": "<tool_9>"
   },
   "reverse": {
     "<tool_0>": "turn_on_lights",
     "<tool_5>": "play_buzzer",
     "<tool_6>": "set_alarm",
     "<tool_7>": "cancel_alarm",
+    "<tool_8>": "get_system_status",
+    "<tool_9>": "respond",
     "<tool_none>": null
   },
   "special_tokens": [
     "<tool_7>",
     "<tool_8>",
     "<tool_9>",
     "<tool_none>",
     "<end>"
   ],
   "output_format": "<tool_N>(\"arg1\",\"arg2\",...)<end>",
+  "notes": "Argument order positional per canonical schema's required-first then optional declaration order. Camera/vision tools (capture_photo, describe_scene) removed in v6. list_alarms removed in v7 — users cannot query alarms; out-of-scope alarm-query prompts route via respond()."
 }

tools.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
-  "version": "0.1.0",
-  "description": "Physical AI tool schema for Coral Dev Board (SL2619) FunctionGemma demo. Canonical mobile-actions format.",
   "tools": [
     {
       "function": {
@@ -147,16 +147,6 @@
         }
       }
     },
-    {
-      "function": {
-        "name": "list_alarms",
-        "description": "List all currently scheduled alarms with their trigger times.",
-        "parameters": {
-          "type": "OBJECT",
-          "properties": {}
-        }
-      }
-    },
     {
       "function": {
         "name": "get_system_status",

 {
+  "version": "0.2.0",
+  "description": "Physical AI tool schema for Coral Dev Board (SL2619) FunctionGemma demo. Canonical mobile-actions format. v7: 10 tools (list_alarms removed; out-of-scope alarm-query prompts route via respond()).",
   "tools": [
     {
       "function": {
         }
       }
     },
     {
       "function": {
         "name": "get_system_status",