Instructions to use pingappslab/Qwen3.5-4B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use pingappslab/Qwen3.5-4B-GGUF 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 pingappslab/Qwen3.5-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf pingappslab/Qwen3.5-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf pingappslab/Qwen3.5-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use pingappslab/Qwen3.5-4B-GGUF with Ollama:
```
ollama run hf.co/pingappslab/Qwen3.5-4B-GGUF:Q4_K_M
```
Unsloth Desktop

How to use pingappslab/Qwen3.5-4B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "pingappslab/Qwen3.5-4B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use pingappslab/Qwen3.5-4B-GGUF with Docker Model Runner:
```
docker model run hf.co/pingappslab/Qwen3.5-4B-GGUF:Q4_K_M
```

Lemonade

How to use pingappslab/Qwen3.5-4B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.5-4B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use pingappslab/Qwen3.5-4B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf pingappslab/Qwen3.5-4B-GGUF: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 pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use pingappslab/Qwen3.5-4B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf pingappslab/Qwen3.5-4B-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "pingappslab/Qwen3.5-4B-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Qwen3.5-4B-GGUF

Unmodified mirror of unsloth/Qwen3.5-4B-GGUF@e87f176479d0855a907a41277aca2f8ee7a09523 for the ChatPing app.

This repository hosts a single, bit-for-bit copy of one GGUF file so that the ChatPing Android app can download local models from the pingappslab namespace at a pinned revision, with no dependency on the upstream repository.

Base model

Base model: Qwen/Qwen3.5-4B
Licence: apache-2.0

Mirror contents

File	Bytes	SHA-256
`Qwen3.5-4B-Q4_K_M.gguf`	2740937888	`00fe7986ff5f6b463e62455821146049db6f9313603938a70800d1fb69ef11a4`

The file is byte-for-byte identical to the upstream artefact at the revision pinned above. The sha256 above is both the LFS object id recorded by the upstream repository and the x-linked-etag served when downloading this file.

Download

https://huggingface.co/pingappslab/Qwen3.5-4B-GGUF/resolve/e87f176479d0855a907a41277aca2f8ee7a09523/...  # upstream, for reference
https://huggingface.co/pingappslab/Qwen3.5-4B-GGUF/resolve/main/Qwen3.5-4B-Q4_K_M.gguf   # this mirror

The app should pin an explicit commit SHA rather than main.

Attribution

Base model by the Qwen team at Alibaba Cloud. GGUF quantisation by Unsloth. Licence: Apache-2.0.

Downloads last month: 188

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