Instructions to use sinatras/Qwen2.5-1.5B-Auto-FunctionCaller with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sinatras/Qwen2.5-1.5B-Auto-FunctionCaller with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="sinatras/Qwen2.5-1.5B-Auto-FunctionCaller",
	filename="Qwen2.5-1.5B-Auto-FunctionCaller-Reset.Q4_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use sinatras/Qwen2.5-1.5B-Auto-FunctionCaller with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf sinatras/Qwen2.5-1.5B-Auto-FunctionCaller: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 sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf sinatras/Qwen2.5-1.5B-Auto-FunctionCaller: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 sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M

Use Docker

docker model run hf.co/sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M

LM Studio
Jan
Ollama
How to use sinatras/Qwen2.5-1.5B-Auto-FunctionCaller with Ollama:
```
ollama run hf.co/sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M
```

Unsloth Studio new

How to use sinatras/Qwen2.5-1.5B-Auto-FunctionCaller 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 sinatras/Qwen2.5-1.5B-Auto-FunctionCaller 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 sinatras/Qwen2.5-1.5B-Auto-FunctionCaller to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for sinatras/Qwen2.5-1.5B-Auto-FunctionCaller to start chatting

Docker Model Runner
How to use sinatras/Qwen2.5-1.5B-Auto-FunctionCaller with Docker Model Runner:
```
docker model run hf.co/sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M
```

Lemonade

How to use sinatras/Qwen2.5-1.5B-Auto-FunctionCaller with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sinatras/Qwen2.5-1.5B-Auto-FunctionCaller:Q4_K_M

Run and chat with the model

lemonade run user.Qwen2.5-1.5B-Auto-FunctionCaller-Q4_K_M

List all available models

lemonade list

Improve language tag

by lbourdois - opened Apr 27, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+74

-63

lbourdois

Apr 27, 2025

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

Improve language tagab06693e

sinatras

Owner Apr 30, 2025

Hi, model was finetuned with synthetic dataset that only consisting English and German instructions so even though base model is capable on 29 language the inteded use of this model (in vehicle function calling) capability is limited to English and German.

sinatras changed pull request status to closed Apr 30, 2025

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