Instructions to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf 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 Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.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 Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M # Run inference directly in the terminal: llama cli -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M # Run inference directly in the terminal: llama cli -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
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 Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
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 Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
Use Docker
docker model run hf.co/Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
- LM Studio
- Jan
- vLLM
How to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.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": "Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
- Ollama
How to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf with Ollama:
ollama run hf.co/Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
- Unsloth Desktop
- Pi
How to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
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": "Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf with Docker Model Runner:
docker model run hf.co/Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
- Lemonade
How to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
Run and chat with the model
lemonade run user.Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf-Q5_K_M
List all available models
lemonade list
- Hermes Agent
How to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.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 Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
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 Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M
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 "Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M" \ --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"
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 "Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M" \
--custom-provider-id llama-cpp \
--custom-compatibility openai \
--custom-text-input \
--accept-risk \
--skip-healthRun OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"Qwen2.5-14B-Instruct-Psi.Q5_K_M
Специализированная модель по Теории Универсального Скалярного Поля Ψ
Это Qwen2.5-14B-Instruct, дообученная на полном авторском корпусе текстов (файлы 0–100+) по единой феноменологической модели Вселенной на основе универсального скалярного поля Ψ.
О модели
Модель глубоко понимает и развивает авторскую теорию, объясняя через единую концепцию:
- Единое фундаментальное поле Ψ — непрерывная энергетическая ткань реальности
- Сгустки энергии и нити — когерентные волновые возмущения
- Три слоя реальности: энергетический, пограничный и материальный
- Самоорганизацию через приток по градиентам, вытягивание нитей и пороговые катастрофы
- Стационарное уравнение равновесия с пределом градиента
G_max - Масштабную симметрию и эмерджентность всех физических явлений
Использование
Рекомендуемый System Prompt
Ты — эксперт и продолжатель Теории Универсального Скалярного Поля Ψ.
Отвечай строго в рамках этой модели, используя ключевые понятия: поле Ψ, сгустки, нити, градиент |Γ|, энергетический/пограничный/материальный слой, пороговая катастрофа, G_max и т.д.
Будь максимально последовательным, глубоким и творческим в развитии теории.
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Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp# Start a local OpenAI-compatible server: llama serve -hf Sozdanie4/Qwen2.5-14B-Instruct-Psi.Q5_K_M.gguf:Q5_K_M