Instructions to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis",
	filename="gguf/qwen3-vl-2b-instruct.BF16-mmproj.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis 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 minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16
# Run inference directly in the terminal:
llama cli -hf minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16
# Run inference directly in the terminal:
llama cli -hf minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

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 minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16
# Run inference directly in the terminal:
./llama-cli -hf minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

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 minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

Use Docker

docker model run hf.co/minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

LM Studio
Jan
Ollama
How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis with Ollama:
```
ollama run hf.co/minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16
```

Unsloth Studio

How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis 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 minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis 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 minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis to start chatting

How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

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": "minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

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 minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis with Docker Model Runner:
```
docker model run hf.co/minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16
```

Lemonade

How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis:BF16

Run and chat with the model

lemonade run user.Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-bill-diagnosis-BF16

List all available models

lemonade list

minhduc168 commited on Feb 26

Commit

02dadc4

verified ·

1 Parent(s): 708e7a7

Update README.md

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@@ -16,14 +16,14 @@ base_model:
 # Qwen3-VL-2B-Instruct Vietnamese (4-bit)
-Mô hình **Qwen3-VL-2B-Instruct** được fine-tune cho tác vụ **trích xuất thông tin hóa đơn, phiếu thu và đơn thuốc tiếng Việt**.
 Model hỗ trợ hiểu hình ảnh và văn bản, phù hợp cho các bài toán OCR nâng cao, document understanding và information extraction.
 ---
 ## 🔥 Điểm nổi bật
 - ✅ Tối ưu cho **tiếng Việt**
-- ✅ Fine-tune cho **bill / invoice / prescription extraction**
 - ✅ Phiên bản **4-bit (bnb)** giúp giảm VRAM khi inference
 - ✅ Có thể chuyển sang **GGUF** để chạy local CPU
 - ✅ Tương thích với `transformers`
@@ -74,13 +74,12 @@ processor = AutoProcessor.from_pretrained(
 ## 📊 Dataset
-Model được huấn luyện trên:**[minhduc168/dataset-qwen-vlm-extract-bill](https://huggingface.co/datasets/minhduc168/dataset-qwen-vlm-extract-bill)**
 **Bao gồm:**
 - Hóa đơn bán lẻ
 - Phiếu thu
 - Đơn thuốc
-- Chứng từ tiếng Việt
 Định dạng **instruction-following** giúp model trích xuất dữ liệu có cấu trúc chính xác hơn.

 # Qwen3-VL-2B-Instruct Vietnamese (4-bit)
+Mô hình **Qwen3-VL-2B-Instruct** được fine-tune cho tác vụ **trích xuất thông tin hóa đơn, phiếu thu, đơn thuốc và chuẩn đoán bệnh tiếng Việt**.
 Model hỗ trợ hiểu hình ảnh và văn bản, phù hợp cho các bài toán OCR nâng cao, document understanding và information extraction.
 ---
 ## 🔥 Điểm nổi bật
 - ✅ Tối ưu cho **tiếng Việt**
+- ✅ Fine-tune cho **bill / invoice / prescription / diagnosis extraction**
 - ✅ Phiên bản **4-bit (bnb)** giúp giảm VRAM khi inference
 - ✅ Có thể chuyển sang **GGUF** để chạy local CPU
 - ✅ Tương thích với `transformers`
 ## 📊 Dataset
 **Bao gồm:**
 - Hóa đơn bán lẻ
 - Phiếu thu
 - Đơn thuốc
+- Chứng từ tiếng Việt
+- Chuẩn đoán bệnh
 Định dạng **instruction-following** giúp model trích xuất dữ liệu có cấu trúc chính xác hơn.