Instructions to use superwhisper/s1-mini-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 superwhisper/s1-mini-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 superwhisper/s1-mini-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf superwhisper/s1-mini-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf superwhisper/s1-mini-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf superwhisper/s1-mini-GGUF: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 superwhisper/s1-mini-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf superwhisper/s1-mini-GGUF: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 superwhisper/s1-mini-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf superwhisper/s1-mini-GGUF:F16

Use Docker

docker model run hf.co/superwhisper/s1-mini-GGUF:F16

LM Studio
Jan

vLLM

How to use superwhisper/s1-mini-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "superwhisper/s1-mini-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "superwhisper/s1-mini-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/superwhisper/s1-mini-GGUF:F16

Ollama
How to use superwhisper/s1-mini-GGUF with Ollama:
```
ollama run hf.co/superwhisper/s1-mini-GGUF:F16
```
Unsloth Desktop

How to use superwhisper/s1-mini-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf superwhisper/s1-mini-GGUF: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": "superwhisper/s1-mini-GGUF:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use superwhisper/s1-mini-GGUF with Docker Model Runner:
```
docker model run hf.co/superwhisper/s1-mini-GGUF:F16
```

Lemonade

How to use superwhisper/s1-mini-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull superwhisper/s1-mini-GGUF:F16

Run and chat with the model

lemonade run user.s1-mini-GGUF-F16

List all available models

lemonade list

Hermes Agent

How to use superwhisper/s1-mini-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 superwhisper/s1-mini-GGUF: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 superwhisper/s1-mini-GGUF:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use superwhisper/s1-mini-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf superwhisper/s1-mini-GGUF: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 "superwhisper/s1-mini-GGUF: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"

Softmaximalist commited on 6 days ago

Commit

34add00

1 Parent(s): ee2c0f5

Modify license to make it detailed

Browse files

Files changed (3) hide show

LICENSE +5 -0
NOTICE +11 -0
README.md +5 -4

LICENSE CHANGED Viewed

@@ -1,3 +1,8 @@
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/

+Copyright 2026 Superwhisper
+This model is a derivative work of Qwen3-0.6B, Copyright 2024 Alibaba Cloud,
+licensed under the Apache License, Version 2.0.
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/

NOTICE ADDED Viewed

	@@ -0,0 +1,11 @@

+S1-mini-GGUF
+Copyright 2026 Superwhisper
+GGUF conversions of S1-mini, which is itself a derivative of Qwen3-0.6B,
+Copyright 2024 Alibaba Cloud, licensed under the Apache License, Version 2.0.
+Any use, distribution, or integration of this model, whether unmodified or
+as part of a derivative work or product, must continue to identify it by its
+original name, "S1-mini" by "Superwhisper", using that exact capitalization.
+This restates the ADDITIONAL TERM of the LICENSE file, which is the
+operative text.

README.md CHANGED Viewed

@@ -309,9 +309,9 @@ in any integration are the input format documented above and the thinking
 flag; nearly every integration bug traces back to one of those.
 > [!IMPORTANT]
-> Read the [LICENSE](LICENSE) before you ship. Apache 2.0 is permissive but
-> not obligation-free: you must retain the license text and attribution
-> notices, and state significant changes if you redistribute a modified
 > version. It also carries one additional term: the model must keep its
 > name, "S1-mini" by "Superwhisper", with that exact capitalization,
 > wherever it's used. If you are bundling S1-mini into a commercial
@@ -322,7 +322,8 @@ flag; nearly every integration bug traces back to one of those.
 S1-mini is released under Apache 2.0, which it inherits from Qwen3-0.6B, plus
 one additional term: wherever it's used, it must keep its name, "S1-mini" by
-"Superwhisper", with that exact capitalization. See [LICENSE](LICENSE).
 ## Citation

 flag; nearly every integration bug traces back to one of those.
 > [!IMPORTANT]
+> Read the [LICENSE](https://huggingface.co/superwhisper/s1-mini-GGUF/blob/main/LICENSE) before you ship. Apache 2.0 is permissive but
+> not obligation-free: you must retain the license text and the NOTICE
+> file, and state significant changes if you redistribute a modified
 > version. It also carries one additional term: the model must keep its
 > name, "S1-mini" by "Superwhisper", with that exact capitalization,
 > wherever it's used. If you are bundling S1-mini into a commercial
 S1-mini is released under Apache 2.0, which it inherits from Qwen3-0.6B, plus
 one additional term: wherever it's used, it must keep its name, "S1-mini" by
+"Superwhisper", with that exact capitalization. See
+[LICENSE](https://huggingface.co/superwhisper/s1-mini-GGUF/blob/main/LICENSE) and [NOTICE](https://huggingface.co/superwhisper/s1-mini-GGUF/blob/main/NOTICE).
 ## Citation