Instructions to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S 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 YTan2000/Qwopus3.6-27B-v2-TQ3_4S
# Run inference directly in the terminal:
llama cli -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S
# Run inference directly in the terminal:
llama cli -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S

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 YTan2000/Qwopus3.6-27B-v2-TQ3_4S
# Run inference directly in the terminal:
./llama-cli -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S

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 YTan2000/Qwopus3.6-27B-v2-TQ3_4S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S

Use Docker

docker model run hf.co/YTan2000/Qwopus3.6-27B-v2-TQ3_4S

LM Studio
Jan

vLLM

How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "YTan2000/Qwopus3.6-27B-v2-TQ3_4S"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "YTan2000/Qwopus3.6-27B-v2-TQ3_4S",
		"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/YTan2000/Qwopus3.6-27B-v2-TQ3_4S

Ollama
How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with Ollama:
```
ollama run hf.co/YTan2000/Qwopus3.6-27B-v2-TQ3_4S
```
Unsloth Desktop

How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S

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": "YTan2000/Qwopus3.6-27B-v2-TQ3_4S"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with Docker Model Runner:
```
docker model run hf.co/YTan2000/Qwopus3.6-27B-v2-TQ3_4S
```

Lemonade

How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull YTan2000/Qwopus3.6-27B-v2-TQ3_4S

Run and chat with the model

lemonade run user.Qwopus3.6-27B-v2-TQ3_4S-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S

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 YTan2000/Qwopus3.6-27B-v2-TQ3_4S

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use YTan2000/Qwopus3.6-27B-v2-TQ3_4S with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf YTan2000/Qwopus3.6-27B-v2-TQ3_4S

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 "YTan2000/Qwopus3.6-27B-v2-TQ3_4S" \
  --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"

YTan2000 commited on May 23

Commit

bce8892

verified ·

1 Parent(s): a5b331d

Upload README.md with huggingface_hub

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README.md +2 -2

README.md CHANGED Viewed

@@ -20,7 +20,7 @@ base_model_relation: quantized
 model-index:
 - name: Qwopus3.6-27B-v2-TQ3_4S
   results: []
-thumbnail: https://huggingface.co/YTan2000/Qwopus3.6-27B-v2-TQ3_4S/resolve/main/thumbnail-v2.png
 ---
 # Qwopus3.6-27B-v2-TQ3_4S
@@ -77,7 +77,7 @@ Native `TQ3_4S` support requires the [turbo-tan/llama.cpp-tq3](https://github.co
 | --- | --- | ---: |
 | `Qwopus3.6-27B-v2-TQ3_4S.gguf` | TQ3_4S | ~13.0 GB |
 | `mmproj.gguf` | multimodal projector | ~0.9 GB |
-| `thumbnail-v2.png` | model card image | png |
 | `chat_template.jinja` | chat template | text |
 ## Notes

 model-index:
 - name: Qwopus3.6-27B-v2-TQ3_4S
   results: []
+thumbnail: https://huggingface.co/YTan2000/Qwopus3.6-27B-v2-TQ3_4S/resolve/main/thumbnail.png
 ---
 # Qwopus3.6-27B-v2-TQ3_4S
 | --- | --- | ---: |
 | `Qwopus3.6-27B-v2-TQ3_4S.gguf` | TQ3_4S | ~13.0 GB |
 | `mmproj.gguf` | multimodal projector | ~0.9 GB |
+| `thumbnail.png` | model card image | png |
 | `chat_template.jinja` | chat template | text |
 ## Notes