Instructions to use aifeifei798/C-Suite-CVO-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use aifeifei798/C-Suite-CVO-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="aifeifei798/C-Suite-CVO-gguf", filename="C-Suite-CVO.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use aifeifei798/C-Suite-CVO-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aifeifei798/C-Suite-CVO-gguf # Run inference directly in the terminal: llama-cli -hf aifeifei798/C-Suite-CVO-gguf
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aifeifei798/C-Suite-CVO-gguf # Run inference directly in the terminal: llama-cli -hf aifeifei798/C-Suite-CVO-gguf
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 aifeifei798/C-Suite-CVO-gguf # Run inference directly in the terminal: ./llama-cli -hf aifeifei798/C-Suite-CVO-gguf
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 aifeifei798/C-Suite-CVO-gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf aifeifei798/C-Suite-CVO-gguf
Use Docker
docker model run hf.co/aifeifei798/C-Suite-CVO-gguf
- LM Studio
- Jan
- vLLM
How to use aifeifei798/C-Suite-CVO-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aifeifei798/C-Suite-CVO-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": "aifeifei798/C-Suite-CVO-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/aifeifei798/C-Suite-CVO-gguf
- Ollama
How to use aifeifei798/C-Suite-CVO-gguf with Ollama:
ollama run hf.co/aifeifei798/C-Suite-CVO-gguf
- Unsloth Studio
How to use aifeifei798/C-Suite-CVO-gguf with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aifeifei798/C-Suite-CVO-gguf to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aifeifei798/C-Suite-CVO-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aifeifei798/C-Suite-CVO-gguf to start chatting
- Pi
How to use aifeifei798/C-Suite-CVO-gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf aifeifei798/C-Suite-CVO-gguf
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "aifeifei798/C-Suite-CVO-gguf" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use aifeifei798/C-Suite-CVO-gguf with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf aifeifei798/C-Suite-CVO-gguf
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 aifeifei798/C-Suite-CVO-gguf
Run Hermes
hermes
- Docker Model Runner
How to use aifeifei798/C-Suite-CVO-gguf with Docker Model Runner:
docker model run hf.co/aifeifei798/C-Suite-CVO-gguf
- Lemonade
How to use aifeifei798/C-Suite-CVO-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aifeifei798/C-Suite-CVO-gguf
Run and chat with the model
lemonade run user.C-Suite-CVO-gguf-{{QUANT_TAG}}List all available models
lemonade list
QiMing C-Suite CVO
⚠️ NOTICE: STRATEGIC INTELLIGENCE ONLY
This model operates with a Chief Visionary Officer (CVO) logic structure. It is designed for high-level strategic planning, complex decision-making, and macro-visionary analysis.
- It is NOT a casual chatbot.
Ψ-Λ
All the world's a stage, and all the men and women merely players;
They have their exits and their entrances:
And one man in his time plays many parts,
His acts being seven ages.
Sonnet: "Life’s Great Stage"
By William Shakespeare (in spirit)
Upon the world's wide stage, where shadows play,
A thousand souls in silence tread their lines;
From cradle's first breath to death's final lay,
Each man and woman weaves through joy and pines.
The infant cries with eyes of dewy grace,
Then schoolboy trudges, satchel on his back;
The lover sighs beneath the moon’s soft face,
With passion deep as waves that kiss the black.
Young soldier, bold in armor bright and tall,
With dreams of fame and war's immortal strain;
Next, judge or lord with wisdom's steady call,
Whose words are laws, whose voice doth reign again.
Then comes old age—pensive, slow, and wise,
With spectacles on nose and memories' eyes:
The final act—a tale told by a child’s hand,
Where all the world becomes one theatre grand.
Epilogue (as from an actor's lips):
And when the curtain falls with gentle sigh,
No more the players weep or laugh or cry;
But still they live—though scenes have passed away—
For life is but a play, and all are play.
Thus ends the act: "Life’s Great Stage" —
And now, dear friends, you too are on the stage.
“The world's a theatre; man, a player. Each moment, a scene. And every soul—a part in an eternal play.”
Disclaimer and User Agreement
- Introduction
Thank you for your interest in accessing this model (“the Model”).
Before you access, download, or use the Model or any derivative works, please read and understand this Disclaimer and User Agreement (“Agreement”).
By checking “I have read and agree” and accessing the Model, you acknowledge that you have read, understood, and agreed to all terms of this Agreement.
If you do not agree with any part of this Agreement, do not request or use the Model.
- Nature of the Model & Risk Notice
The Model is trained using large-scale machine learning techniques and may generate inaccurate, false, offensive, violent, sexual, discriminatory, politically sensitive, or otherwise uncontrolled content.
The Model does not guarantee the accuracy, completeness, or legality of any generated content. You must independently evaluate and verify the outputs, and you assume all risks arising from their use.
The Model may reflect biases or errors present in its training data, potentially producing inappropriate or controversial outputs.
- License and Permitted Use
You may use the Model solely for lawful, compliant, and non-malicious purposes in research, learning, experimentation, and development, in accordance with applicable laws and regulations.
You must not use the Model for activities including, but not limited to:
Creating, distributing, or promoting unlawful, violent, pornographic, terrorist, discriminatory, defamatory, or privacy-invasive content;
Any activity that could cause significant negative impact on individuals, groups, organizations, or society;
High-risk applications such as automated decision-making, medical diagnosis, financial transactions, or legal advice without proper validation and human oversight.
You must not remove, alter, or circumvent any safety mechanisms implemented in the Model.
- Data and Privacy
You are solely responsible for any data processed or generated when using the Model, including compliance with data protection and privacy regulations.
The Model’s authors and contributors make no guarantees or warranties regarding data security or privacy.
- Limitation of Liability
To the maximum extent permitted by applicable law, the authors, contributors, and their affiliated institutions shall not be liable for any direct, indirect, incidental, or consequential damages arising from the use of the Model.
You agree to bear full legal responsibility for any disputes, claims, or litigation arising from your use of the Model, and you release the authors and contributors from any related liability.
- Updates and Termination
This Agreement may be updated at any time, with updates posted on the Model’s page and effective immediately upon publication.
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I have read and fully understand this Disclaimer and User Agreement, and I accept full responsibility for any consequences arising from my use of the Model.
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