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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- conversational
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- function-calling
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- llama
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- instruct
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datasets:
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- Francesco26061993/ShareGPT_uncensored
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- Francesco26061993/function_calling
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metrics:
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- accuracy
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base_model: unsloth/Llama-3.2-1B-Instruct
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model-index:
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- name: RacoGPT_light_function_calling
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results:
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- task:
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type: text-generation
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name: Conversational and Function Calling
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dataset:
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type: Francesco26061993/ShareGPT_uncensored
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name: ShareGPT Uncensored
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split: train
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metrics:
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- type: accuracy
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value: 85.5
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name: Training Accuracy
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source:
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name: Hugging Face Model Card
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url: https://huggingface.co/Francesco26061993/RacoGPT_light_function_calling
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---
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# RacoGPT_light_function_calling Usage Guide
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## Introduction
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RacoGPT_light_function_calling is a Hugging Face model trained on a comprehensive general knowledge dataset, with advanced function-calling capabilities, making it compatible with the RacoGPT library for enriched API interaction. This guide will show you how to perform function-calling using the model.
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## Getting Started
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To utilize the function-calling capabilities of the RacoGPT_light model, follow these steps:
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### Step 1: Install the RacoGPT Library
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If you haven't already, install the RacoGPT library via pip:
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```bash
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pip install RacoGPT
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```
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### Step 2: Setting Up the RacoGPT Client
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Import the `RacoGPTClient` from the `RacoGPT` library, configure the client with the correct host, and specify the model.
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```python
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from racogpt import RacoGPTClient
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client = RacoGPTClient(host="http://localhost:11434", model="carlo")
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```
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### Example 1: Simple Completion (without Function Calling)
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```python
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prompt = "What's the weather like today?"
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print("Simple Completion Request:", prompt)
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response = client.simple_completion(prompt)
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print("
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Simple Completion Response:", response)
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```
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**Output:**
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```
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Simple Completion Response: I'm a large language model, I don't have real-time access to current weather conditions. However, I can suggest some ways for you to find out the current weather:
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1. Check online weather websites: You can visit websites such as AccuWeather, Weather.com, or the National Weather Service (NWS) for current and forecasted weather conditions.
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2. Use a mobile app: There are many weather apps available for both iOS and Android devices that provide real-time weather information.
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3. Ask a voice assistant: If you have a smart speaker or virtual assistant like Siri, Alexa, or Google Assistant, they can often provide the current weather.
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If you'd like to give me some general information about the weather, I can try to help!
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```
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### Example 2: Function Calling Completion
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```python
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query = "Where can I find discounted deals on popular video games?"
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print("
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Function Calling Completion Request:", query)
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tools = [{
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"name": "fetch_game_deals",
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"description": "Retrieve current discounted game deals from the Deals API based on the specified platform and genre.",
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"parameters": {
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"platform": {
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"description": "The platform for which to retrieve deals (e.g., PC, PS5, Xbox).",
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"type": "str",
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"default": "PC"
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},
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"genre": {
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"description": "The genre of games to filter the deals (e.g., RPG, action, sports).",
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"type": "str",
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"default": "action"
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}
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}
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}]
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response = client.function_calling_completion(query=query, tools=tools)
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print("
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Function Calling Completion Response:", response)
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```
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**Output:**
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```
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Function Calling Completion Response: [{'name': 'fetch_game_deals', 'arguments': {'platform': 'PC', 'genre': 'RPG'}}, {'name': 'fetch_game_deals', 'arguments': {'platform': 'PS5', 'genre': 'Action'}}]
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```
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### Example 3: Auto Completion with Specified Tools
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```python
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query = "Where can I find live gaming events near me?"
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print("
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Auto Completion Request with tools:", query)
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tools = [{
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"name": "fetch_live_events",
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"description": "Retrieve current live gaming events based on location and game type.",
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"parameters": {
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"location": {
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"description": "Location to search for events (e.g., city or country).",
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"type": "str",
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"default": "New York"
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},
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"game_type": {
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"description": "The type of game events to retrieve (e.g., eSports, LAN parties).",
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"type": "str",
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"default": "eSports"
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}
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}
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}]
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response = client.auto_completion(query=query, tools=tools)
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print("
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Auto Completion Response:", response)
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```
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**Output:**
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```
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Auto Completion Response: [{'name': 'fetch_live_events', 'arguments': {'location': 'New York', 'game_type': 'eSports'}}]
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```
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### Example 4: Auto Completion without Specified Tools
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```python
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prompt = "How can I learn Python programming?"
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print("
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Auto Completion Request without tools:", prompt)
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response = client.auto_completion(prompt)
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print("
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Auto Completion Response:", response)
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```
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**Output:**
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```
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Auto Completion Response: **Learning Python Programming**
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Python is a high-level, interpreted language that is widely used for various purposes such as web development, data analysis, artificial intelligence, and more. Here's how you can learn Python:
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### 1. Online Courses and Tutorials
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* Codecademy (interactive coding environment): Learn by creating projects, quizzes, and challenges.
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* DataCamp: Interactive courses on various topics, including Python, data science, and machine learning.
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* Coursera, edX, and Udemy: Offer a wide range of Python courses from top universities.
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### 2. Tutorials and Guides
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* Official Python documentation (docs.python.org): Get started with the basics, syntax, and built-in libraries.
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* W3Schools' Python Tutorial: A comprehensive tutorial covering various topics, including variables, data types, functions, and more.
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* Real Python: An online community-driven resource for learning Python.
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### 3. Practice with Projects
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* Start with simple projects, such as:
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+ Calculating the sum of squares or cubes
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+ Building a calculator program
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+ Creating a simple game (e.g., Tic-Tac-Toe)
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* Use platforms like LeetCode, HackerRank, and Project Euler to practice your skills.
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### 4. Books
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* "Python Crash Course" by Eric Haelterman: A comprehensive book covering Python fundamentals.
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* "Automate the Boring Stuff with Python" by Al Sweigart: A hands-on guide for automation tasks.
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* "Learning Python" by Mark Lutz and Fredrik Suttie: A detailed textbook on Python.
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### 5. Join Online Communities
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* Reddit's r/learnpython community: Share your knowledge, ask questions, and discuss various topics.
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* Stack Overflow (stackoverflow.com): Ask and answer programming questions related to Python.
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### 6. Watch Tutorials
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* YouTube channels like:
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+ Corey Schafer's Python Tutorials
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+ Traversy Media's Python Programming Channel
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+ Py4Fun's Python tutorials
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**7. Take Online Certifications**
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* CompTIA A: Covers basic concepts, data types, and file I/O.
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* Google Cloud Certified - Professional Developer: Learn about cloud computing with Python.
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**8. Find a Mentor or Join a Coding Group**
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* Connect with experienced Python programmers on platforms like GitHub, LinkedIn, or Stack Overflow.
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* Participate in coding groups, such as hackathons, meetups, and online forums.
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Remember, learning Python requires patience, persistence, and practice. Start with the basics, build projects, and gradually move to more complex topics. Good luck!
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```
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### Example 5: Full Completion with Tools
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```python
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messages = [
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{"role": "user", "content": "Where can I find discounted deals on video games?"},
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{"role": "assistant", "content": "You can find deals on sites like Steam and GOG."},
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{"role": "user", "content": "I need information on PC game deals."}
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]
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tools = [
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{
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"name": "fetch_game_deals",
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"description": "Retrieve current discounted game deals from the Deals API based on the specified platform and genre.",
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"parameters": {
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"platform": {
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"description": "The platform for which to retrieve deals (e.g., PC, PS5, Xbox).",
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"type": "str",
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"default": "PC"
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},
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"genre": {
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"description": "The genre of games to filter the deals (e.g., RPG, action, sports).",
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"type": "str",
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"default": "action"
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}
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}
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}
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]
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response = client.full_completion(messages, tools=tools)
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print("
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Full Completion with Tools Response:", response)
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```
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**Output:**
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```
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Full Completion with Tools Response: "The given question lacks the parameters required by the function."
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```
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By following these examples, you'll be well-equipped to leverage RacoGPT_light_function_calling's capabilities for general knowledge querying and function calling within the RacoGPT library. Enjoy experimenting with different prompts and toolsets to fully explore the model's functionalities! |
