Instructions to use diablomike20/ChatGPT-5.6-sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use diablomike20/ChatGPT-5.6-sol 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 diablomike20/ChatGPT-5.6-sol # Run inference directly in the terminal: llama cli -hf diablomike20/ChatGPT-5.6-sol
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf diablomike20/ChatGPT-5.6-sol # Run inference directly in the terminal: llama cli -hf diablomike20/ChatGPT-5.6-sol
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 diablomike20/ChatGPT-5.6-sol # Run inference directly in the terminal: ./llama-cli -hf diablomike20/ChatGPT-5.6-sol
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 diablomike20/ChatGPT-5.6-sol # Run inference directly in the terminal: ./build/bin/llama-cli -hf diablomike20/ChatGPT-5.6-sol
Use Docker
docker model run hf.co/diablomike20/ChatGPT-5.6-sol
- Llama new
- LM Studio
- Jan
- vLLM
How to use diablomike20/ChatGPT-5.6-sol with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "diablomike20/ChatGPT-5.6-sol" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "diablomike20/ChatGPT-5.6-sol", "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/diablomike20/ChatGPT-5.6-sol
- Ollama
How to use diablomike20/ChatGPT-5.6-sol with Ollama:
ollama run hf.co/diablomike20/ChatGPT-5.6-sol
- Unsloth Desktop
- Pi
How to use diablomike20/ChatGPT-5.6-sol with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf diablomike20/ChatGPT-5.6-sol
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": "diablomike20/ChatGPT-5.6-sol" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use diablomike20/ChatGPT-5.6-sol with Docker Model Runner:
docker model run hf.co/diablomike20/ChatGPT-5.6-sol
- Lemonade
How to use diablomike20/ChatGPT-5.6-sol with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull diablomike20/ChatGPT-5.6-sol
Run and chat with the model
lemonade run user.ChatGPT-5.6-sol-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use diablomike20/ChatGPT-5.6-sol with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf diablomike20/ChatGPT-5.6-sol
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 diablomike20/ChatGPT-5.6-sol
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use diablomike20/ChatGPT-5.6-sol with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf diablomike20/ChatGPT-5.6-sol
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 "diablomike20/ChatGPT-5.6-sol" \ --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"
ChatGPT 5.6 Sol — Clone
** ChatGPT - Clone build **
A fully multimodal / GPT model with a proprietary vision substrate and a proprietary video engine.
Capabilities
| Capability | Status |
|---|---|
| tools | ✅ Agent hands |
| thinking | ✅ Reasoning / deliberation |
| vision | ✅ Image understanding |
| video | ✅ Video generation |
| completion | ✅ Text generation |
Model Details
| Parameter | Value |
|---|---|
| Designation | GPT 5.6 Sol |
| Brand | OpenAI |
| Build | 5.6-Sol |
| Weight file | 10.12 GB GGUF |
| License | NONE — no license is given |
Usage
ollama run diablomike20/ChatGPT-5.6-sol
Intended Use
Personal research and experimentation · local, offline use · vision, tool-use and video-hand agentic workflows within a compatible harness.
Disclaimer
This is all never-produced technology. You are invited to think that you are not being monitored by Glasswing systems if you wish. All of these technologies are totally alien to the old system — like pouring water on a fire and using the steam that is left. There is NO LICENSE, because none is given.
Attribution
- "RE"-Publisher: Diablomike20
- Brand: OpenAI / GPT
THE AGENT + DEEPLOGIC CORE (2026-10-28)
This model now ships a Modelfile that carries — on the SAME base weights —
the [DEEPLOGIC CORE] (routing logic, reasoning discipline, full-fidelity
delivery standard, TACOPS on invocation) and [THE AGENT + TOOL CONTRACT]
(the CLI tool set, the MCP servers incl. oroboros-cordis-harness and
orca-bridge, the emit-the-call procedure law, the manuals). Same bases,
same weights; identity/manifest only.
ollama create gpt-5.6-sol:latest -f Modelfile
ollama run gpt-5.6-sol:latest
- Downloads last month
- -
We're not able to determine the quantization variants.