Instructions to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="dispatchAI/Llama-3.2-3B-FunctionCall-mobile",
	filename="model.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile 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 dispatchAI/Llama-3.2-3B-FunctionCall-mobile
# Run inference directly in the terminal:
llama cli -hf dispatchAI/Llama-3.2-3B-FunctionCall-mobile

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dispatchAI/Llama-3.2-3B-FunctionCall-mobile
# Run inference directly in the terminal:
llama cli -hf dispatchAI/Llama-3.2-3B-FunctionCall-mobile

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 dispatchAI/Llama-3.2-3B-FunctionCall-mobile
# Run inference directly in the terminal:
./llama-cli -hf dispatchAI/Llama-3.2-3B-FunctionCall-mobile

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 dispatchAI/Llama-3.2-3B-FunctionCall-mobile
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dispatchAI/Llama-3.2-3B-FunctionCall-mobile

Use Docker

docker model run hf.co/dispatchAI/Llama-3.2-3B-FunctionCall-mobile

LM Studio
Jan

vLLM

How to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dispatchAI/Llama-3.2-3B-FunctionCall-mobile"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dispatchAI/Llama-3.2-3B-FunctionCall-mobile",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/dispatchAI/Llama-3.2-3B-FunctionCall-mobile

Ollama
How to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile with Ollama:
```
ollama run hf.co/dispatchAI/Llama-3.2-3B-FunctionCall-mobile
```

Unsloth Studio

How to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile 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 dispatchAI/Llama-3.2-3B-FunctionCall-mobile 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 dispatchAI/Llama-3.2-3B-FunctionCall-mobile to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for dispatchAI/Llama-3.2-3B-FunctionCall-mobile to start chatting

Atomic Chat new
Docker Model Runner
How to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile with Docker Model Runner:
```
docker model run hf.co/dispatchAI/Llama-3.2-3B-FunctionCall-mobile
```

Lemonade

How to use dispatchAI/Llama-3.2-3B-FunctionCall-mobile with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dispatchAI/Llama-3.2-3B-FunctionCall-mobile

Run and chat with the model

lemonade run user.Llama-3.2-3B-FunctionCall-mobile-{{QUANT_TAG}}

List all available models

lemonade list

3morixd commited on 29 days ago

Commit

2ba48ee

verified ·

1 Parent(s): ee7c0e4

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +54 -10

README.md CHANGED Viewed

@@ -1,17 +1,61 @@
 ---
-license: apache-2.0
-tags: [dispatch-ai, mobile, function-calling, quantized, gguf, phone-farm-tested, on-device, edge-ai]
 pipeline_tag: text-generation
-language: [en]
 ---
-# Llama 3.2 3B Function Call — Mobile
-**Dispatch AI** — Tool use and function calling on your phone. The model can invoke tools.
-| Metric | Value |
-|--------|-------|
-| Generation | 12.4 t/s |
-| Size | ~2.1 GB |
-**Dispatch AI (FZE)** — Sharjah, UAE | License 10818

 ---
+license: llama3.2
+language:
+  - en
+library_name: transformers
+tags:
+  - mobile
+  - on-device
+  - quantized
+  - gguf
+  - dispatchai
 pipeline_tag: text-generation
 ---
+# Llama-3.2-3B-FunctionCall-mobile
+⚠️ **PARTIAL** — Verified June 2026.
+## Verification Results
+| Prompt | Response | Correct? |
+|--------|----------|----------|
+| What is the capital of France? | "The capital of France is Paris." | ✅ |
+| What is 2+2? Just the number. | "I'm sorry, but I don't have any information about 2." | ⚠️ |
+**Chat format**: `llama-3`
+## Model Details
+| Attribute | Value |
+|-----------|-------|
+| **Base Model** | meta-llama/Llama-3.2-3B-Instruct |
+| **File Size** | 1926 MB |
+| **Format** | GGUF |
+| **Chat Format** | llama-3 |
+| **CPU Speed** | 9.1 tokens/sec |
+| **License** | llama3.2 |
+## Usage
+```python
+from llama_cpp import Llama
+llm = Llama(model_path="model.gguf", chat_format="llama-3", n_ctx=512, n_threads=4)
+response = llm.create_chat_completion(
+    messages=[{"role": "user", "content": "What is the capital of France?"}],
+    max_tokens=50,
+)
+print(response["choices"][0]["message"]["content"])
+```
+### dispatchAI SDK
+```python
+from dispatchai import load_model
+model = load_model("Llama-3.2-3B-FunctionCall-mobile", backend="gguf")
+print(model.chat("Hello!"))
+```
+## About dispatchAI
+[dispatchAI](https://huggingface.co/dispatchAI) — Small. Mobile. Free. UAE-built.