Instructions to use rico03/Qwen3.6-35B-Opus-Reasoning-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 rico03/Qwen3.6-35B-Opus-Reasoning-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 rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

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 rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

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 rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

Use Docker

docker model run hf.co/rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

LM Studio
Jan

vLLM

How to use rico03/Qwen3.6-35B-Opus-Reasoning-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rico03/Qwen3.6-35B-Opus-Reasoning-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": "rico03/Qwen3.6-35B-Opus-Reasoning-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

Ollama
How to use rico03/Qwen3.6-35B-Opus-Reasoning-GGUF with Ollama:
```
ollama run hf.co/rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S
```
Unsloth Desktop

How to use rico03/Qwen3.6-35B-Opus-Reasoning-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

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": "rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use rico03/Qwen3.6-35B-Opus-Reasoning-GGUF with Docker Model Runner:
```
docker model run hf.co/rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S
```

Lemonade

How to use rico03/Qwen3.6-35B-Opus-Reasoning-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.Qwen3.6-35B-Opus-Reasoning-GGUF-Q4_K_S

List all available models

lemonade list

Hermes Agent

How to use rico03/Qwen3.6-35B-Opus-Reasoning-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 rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

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 rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use rico03/Qwen3.6-35B-Opus-Reasoning-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S

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 "rico03/Qwen3.6-35B-Opus-Reasoning-GGUF:Q4_K_S" \
  --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"

q8 or bf16 quant??

by Rubertigno - opened Apr 17

Discussion

Rubertigno

Apr 17

thankss

rico03

Owner Apr 17

F16

Rubertigno

Apr 17

•

edited Apr 17

upload soon model 16bit ?? thanks a lot

rico03

Owner Apr 17

It's in the unsloth repository, I've taken it from there

rico03

Owner Apr 17

Do you intend the one fine-tuned? It's 70GB

rico03

Owner Apr 17

I've it since I've not used unsloth for this fine tuning, but it's heavy. If you need it I can upload it

Rubertigno

Apr 17

•

edited Apr 17

yesss thanksssss also for the other gem thanks

rico03

Owner Apr 17

I've it in a private repo. I make it public for you. Tell me when you have done and I reput it as private. You can find the repo in my profile

Rubertigno

Apr 17

thanksss

rico03

Owner Apr 17

Have you seen the repo?

Rubertigno

Apr 17

but the file is not gguf

Rubertigno

Apr 17

If you keep it public for a few days I will send a request to the mrredcher team so they can do all the quantizations

Rubertigno changed discussion status to closed Apr 17

Rubertigno changed discussion status to open Apr 17

rico03

Owner Apr 17

No, you have to do it with Llama. I've used this command:

git clone https://github.com/ggerganov/llama.cpp
pip install -r llama.cpp/requirements.txt
python3 llama.cpp/convert_hf_to_gguf.py ./qwen36-35B-opus-reasoning-merged
--outfile qwen36-opus-f16.gguf
--outtype f16

rico03

Owner Apr 17

Yes, I can take it public. Let me know thanks

Rubertigno

Apr 17

okk thankss

rico03

Owner Apr 17

I've changed the name and uploaded the readme, now it's more clear

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