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

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning 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 mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16
# Run inference directly in the terminal:
llama cli -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16
# Run inference directly in the terminal:
llama cli -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

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 mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16
# Run inference directly in the terminal:
./llama-cli -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

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 mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

Use Docker

docker model run hf.co/mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

LM Studio
Jan

vLLM

How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mondk/GGUF.Claude-Qwen3.5-4B-Reasoning"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mondk/GGUF.Claude-Qwen3.5-4B-Reasoning",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

Ollama
How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning with Ollama:
```
ollama run hf.co/mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16
```
Unsloth Desktop

How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

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": "mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning with Docker Model Runner:
```
docker model run hf.co/mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16
```

Lemonade

How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

Run and chat with the model

lemonade run user.GGUF.Claude-Qwen3.5-4B-Reasoning-F16

List all available models

lemonade list

Hermes Agent

How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

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 mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mondk/GGUF.Claude-Qwen3.5-4B-Reasoning with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16

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 "mondk/GGUF.Claude-Qwen3.5-4B-Reasoning:F16" \
  --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"

datasets:

mondk/claude-code-fable-5-traces.jsonl
TeichAI/Claude-Sonnet-4.6-Reasoning-1100x
angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k
dalisoft/claude-opus-4.6-high-reasoning-700x
Hastagaras/Claude-Opus-4.6-Reasoning-BugFinder-400

It will no longer identify itself as claude.

Loss: 1.4

Better coding: +23%

safetensors: mondk/Safetensors.Claude-Qwen3.5-4B-Reasoning

laboratory

The questions used in the question_set.txt file (generated by Claude—it's in Vietnamese, bruh).

rated by gemini

temp = 0.0, system prompt:

You are a precise coding assistant. Solve the problem exactly as specified.
Output ONLY the final code in a single code block, with no explanation,
no preamble, and no comments unless explicitly requested. Follow the
function signature exactly if one is given.

..................

Results:

#	Category	Base pass?	Fine-tuned pass?
E1-E5	Easy	5/5	5/5
M1-M8	Medium	6/8	8/8
H1-H7	Hard	4/7	5/7
Total		15/20	18/20

Downloads last month: 779

GGUF

Model size

4B params

Architecture

qwen35

Hardware compatibility

4-bit

Model tree for mondk/GGUF.Claude-Qwen3.5-4B-Reasoning

Base model

Qwen/Qwen3.5-4B-Base

Finetuned

Qwen/Qwen3.5-4B

Finetuned

unsloth/Qwen3.5-4B

Finetuned

TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-Distill

Quantized

(8)

this model

mondk
/

GGUF.Claude-Qwen3.5-4B-Reasoning

laboratory

Model tree for mondk/GGUF.Claude-Qwen3.5-4B-Reasoning

Datasets used to train mondk/GGUF.Claude-Qwen3.5-4B-Reasoning