README.md

---
widget:
- text: Fibonacci Intelligence ✨
  parameters:
    negative_prompt: fibonacci ai
  output:
    url: images/IMG_20250104_152637_289-GBCTSioQi-transformed-transformed.png
license: apache-2.0
tags:
- gemma3n
- GGUF
- conversational
- product-specialized-ai
- llama-cpp
- RealRobot
- lmstudio
- fibonacciai
- chatbot
- persian
- iran
- text-generation
- jan
- ollama
datasets:
- fibonacciai/RealRobot-chatbot-v2
- fibonacciai/Realrobot-chatbot
language:
- en
- fa
base_model:
- google/gemma-3n-E4B-it
new_version: fibonacciai/fibonacci-2-9b
pipeline_tag: question-answering
---
![baner1](https://cdn.imgurl.ir/uploads/i061213_gemma-3n-future-2.gif)
https://youtu.be/yS3aX3_w3T0
# RealRobot_chatbot_llm (GGUF) - The Blueprint for Specialized Product AI
![1](https://cdn.imgurl.ir/uploads/s501697_RealRobot_chatbot_llm1.jpg)
This repository contains the highly optimized GGUF (quantized) version of the `RealRobot_chatbot_llm` model, developed by **fibonacciai**.

Our model is built on the efficient **Gemma3n architecture** and is fine-tuned on a proprietary dataset from the RealRobot product catalog. This model serves as the **proof-of-concept** for our core value proposition: the ability to rapidly create accurate, cost-effective, and deployable specialized language models for any business, based on their own product data.
![baner1](https://cdn.imgurl.ir/uploads/c466728_1_YX_BOaLkFhVfP9S3979P_Q.gif)

## 📈 Key Advantages and Value Proposition

The `RealRobot_chatbot_llm` demonstrates the unique benefits of our specialization strategy:
![لوگوی مدل](https://cdn.imgurl.ir/uploads/f430581_RealRobot_chatbot_llm2.jpg)
* **Hyper-Specialization & Accuracy:** The model is trained exclusively on product data, eliminating the noise and inaccuracy of general-purpose models. It provides authoritative, relevant answers directly related to the RealRobot product line.
* **Scalable Business Model:** The entire process—from dataset creation to GGUF deployment—is a repeatable blueprint. **This exact specialized AI solution can be replicated for any company or platform** that wishes to embed a highly accurate, product-aware chatbot.
* **Cost & Resource Efficiency:** Leveraging the small and optimized Gemma 3n architecture, combined with GGUF quantization, ensures maximum performance and minimal computational cost. This makes on-premise, real-time deployment economically viable for enterprises of all sizes.
* **Optimal Deployment:** The GGUF format enables seamless integration into embedded systems, mobile applications, and local servers using industry-standard tools like `llama.cpp`.

## 📝 Model & Architecture Details: Gemma 3n

The `RealRobot_chatbot_llm` is built upon the cutting-edge **Gemma 3n** architecture, a powerful, open model family from Google, optimized for size and speed.

| Feature | Description |
| :--- | :--- |
| **Base Architecture** | Google's Gemma 3n (Optimized for size and speed) |
| **Efficiency Focus** | Designed for accelerated performance on local devices (CPU/Edge) |
| **Model Size** | Approx. 4 Billion Parameters (Quantized) |
| **Fine-tuning Base** | `gemma-3n-e2b-it-bnb-4bit` |
![2](https://cdn.imgurl.ir/uploads/f430581_RealRobot_chatbot_llm2.jpg)
## 📊 Training Data: RealRobot Product Catalog

This model's high accuracy is a direct result of being fine-tuned on a single-domain, high-quality dataset:

* **Dataset Source:** [`fibonacciai/RealRobot-chatbot-v2`](https://huggingface.co/datasets/fibonacciai/RealRobot-chatbot-v2)
* **Content Focus:** The dataset is composed of conversational data and information derived directly from the **RealRobot website product documentation and support materials**.
* **Purpose:** This data ensures the chatbot can accurately and effectively answer customer questions about product features, usage, and troubleshooting specific to the RealRobot offerings.
![3](https://cdn.imgurl.ir/uploads/s27401_RealRobot_chatbot_llm3.jpg)
## ⚙️ How to Use (GGUF)

This GGUF model can be run using various clients, with `llama.cpp` being the most common.

### 1. Using `llama.cpp` (Terminal)

1.  **Clone and build `llama.cpp`:**
    ```bash
    git clone [https://github.com/ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)
    cd llama.cpp
    make
    ```

2.  **Run the model:**
    Use the `--hf-repo` flag to automatically download the model file. Replace `[YOUR_GGUF_FILENAME.gguf]` with the actual filename (e.g., `RealRobot_chatbot_llm-Q8_0.gguf`).

    ```bash
    ./main --hf-repo fibonacciai/RealRobot_chatbot_llm \
           --hf-file [YOUR_GGUF_FILENAME.gguf] \
           -n 256 \
           -p "<start_of_turn>user\nWhat are the main features of the RealRobot X1 model?<end_of_turn>\n<start_of_turn>model\n"
    ```

### 2. Using `llama-cpp-python` (Python)

1.  **Install the library:**
    ```bash
    pip install llama-cpp-python
    ```

2.  **Run in Python:**
    ```python
    from llama_cpp import Llama

    GGUF_FILE = "[YOUR_GGUF_FILENAME.gguf]" 
    REPO_ID = "fibonacciai/RealRobot_chatbot_llm"

    llm = Llama.from_pretrained(
        repo_id=REPO_ID,
        filename=GGUF_FILE,
        n_ctx=2048,
        chat_format="gemma",  # Use the gemma chat format
        verbose=False
    )

    messages = [
        {"role": "user", "content": "How do I troubleshoot error code X-404 on the platform?"},
    ]

    response = llm.create_chat_completion(messages)
    print(response['choices'][0]['message']['content'])
    ```

## ⚠️ Limitations and Bias

* **Domain Focus:** The model is highly specialized. It excels in answering questions about RealRobot products but will have limited performance on general knowledge outside this domain.
* **Output Verification:** The model's output should always be verified by human oversight before being used in critical customer support or business processes.

## 📜 License

The model is licensed under the **Apache 2.0** license.

## 📞 Contact for Specialized AI Solutions

For specialized inquiries, collaboration, or to develop a custom product AI for your business using this scalable blueprint, please contact:
**[info@realrobot.ir]**
**[www.RealRobot.ir]**


![4](https://cdn.imgurl.ir/uploads/d77014_RealRobot_chatbot_llm4.jpg)