Instructions to use wijan/NLP-prototype-Qwen3_5-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wijan/NLP-prototype-Qwen3_5-4B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="wijan/NLP-prototype-Qwen3_5-4B",
	filename="gguf/Qwen3.5-4B.Q4_K_M.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 wijan/NLP-prototype-Qwen3_5-4B with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf wijan/NLP-prototype-Qwen3_5-4B: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 wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf wijan/NLP-prototype-Qwen3_5-4B: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 wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M

Use Docker

docker model run hf.co/wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M

LM Studio
Jan
Ollama
How to use wijan/NLP-prototype-Qwen3_5-4B with Ollama:
```
ollama run hf.co/wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M
```

Unsloth Studio

How to use wijan/NLP-prototype-Qwen3_5-4B 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 wijan/NLP-prototype-Qwen3_5-4B 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 wijan/NLP-prototype-Qwen3_5-4B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for wijan/NLP-prototype-Qwen3_5-4B to start chatting

How to use wijan/NLP-prototype-Qwen3_5-4B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M

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": "wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use wijan/NLP-prototype-Qwen3_5-4B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M

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 wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use wijan/NLP-prototype-Qwen3_5-4B with Docker Model Runner:
```
docker model run hf.co/wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M
```

Lemonade

How to use wijan/NLP-prototype-Qwen3_5-4B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull wijan/NLP-prototype-Qwen3_5-4B:Q4_K_M

Run and chat with the model

lemonade run user.NLP-prototype-Qwen3_5-4B-Q4_K_M

List all available models

lemonade list

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Usage

This model is used local with ollama.

Download the GGUF file and the Modelfile.
Create a new ollama model with ollama create <model_name> -f Modelfile.
Start the model with ollama run <model_file>.

In the Modelfile you can adjust parameters like temperature, change the template or the system prompt.

Downloads last month: 20

GGUF

Model size

4B params

Architecture

qwen35

Hardware compatibility

4-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including wijan/NLP-prototype-Qwen3_5-4B

SUTURO-NLP-Prototypes

Collection

Prototype models as part of a student project at the University of Bremen • 5 items • Updated about 1 month ago