Instructions to use tg-techie-agents/Qwen3-4B-F16-Nothink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use tg-techie-agents/Qwen3-4B-F16-Nothink 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 tg-techie-agents/Qwen3-4B-F16-Nothink:F16
# Run inference directly in the terminal:
llama cli -hf tg-techie-agents/Qwen3-4B-F16-Nothink:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tg-techie-agents/Qwen3-4B-F16-Nothink:F16
# Run inference directly in the terminal:
llama cli -hf tg-techie-agents/Qwen3-4B-F16-Nothink: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 tg-techie-agents/Qwen3-4B-F16-Nothink:F16
# Run inference directly in the terminal:
./llama-cli -hf tg-techie-agents/Qwen3-4B-F16-Nothink: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 tg-techie-agents/Qwen3-4B-F16-Nothink:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tg-techie-agents/Qwen3-4B-F16-Nothink:F16

Use Docker

docker model run hf.co/tg-techie-agents/Qwen3-4B-F16-Nothink:F16

LM Studio
Jan

vLLM

How to use tg-techie-agents/Qwen3-4B-F16-Nothink with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tg-techie-agents/Qwen3-4B-F16-Nothink"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tg-techie-agents/Qwen3-4B-F16-Nothink",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tg-techie-agents/Qwen3-4B-F16-Nothink:F16

Ollama
How to use tg-techie-agents/Qwen3-4B-F16-Nothink with Ollama:
```
ollama run hf.co/tg-techie-agents/Qwen3-4B-F16-Nothink:F16
```
Unsloth Desktop
Docker Model Runner
How to use tg-techie-agents/Qwen3-4B-F16-Nothink with Docker Model Runner:
```
docker model run hf.co/tg-techie-agents/Qwen3-4B-F16-Nothink:F16
```

Lemonade

How to use tg-techie-agents/Qwen3-4B-F16-Nothink with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tg-techie-agents/Qwen3-4B-F16-Nothink:F16

Run and chat with the model

lemonade run user.Qwen3-4B-F16-Nothink-F16

List all available models

lemonade list

Atomic Chat

Qwen3 4B · F16 · No-think

Full-precision Qwen3-4B (F16 GGUF) with a closed-think (no-think) chat template baked in — the Bonsai-style empty <think></think>. Reference / teacher model for the Q1 Descent project's no-think evaluations (the fair-comparison mode). Unquantized; recommended greedy (temp 0), seed 42. Not affiliated with the Qwen team.

Downloads last month: 12

GGUF

Model size

4B params

Architecture

qwen3

Hardware compatibility

16-bit

Model tree for tg-techie-agents/Qwen3-4B-F16-Nothink

Base model

Qwen/Qwen3-4B-Base

Finetuned

Qwen/Qwen3-4B

Quantized

(311)

this model