Text Generation
PyTorch
GGUF
English
quantum
quantum-entropy
from-scratch
char-level
cosmic-synapse-theory
custom-architecture
llama-cpp
continual-learning
reproducible-seed
open-science
null-results
Instructions to use phera-ra/QC67_cosmo 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 phera-ra/QC67_cosmo 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 phera-ra/QC67_cosmo # Run inference directly in the terminal: llama cli -hf phera-ra/QC67_cosmo
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf phera-ra/QC67_cosmo # Run inference directly in the terminal: llama cli -hf phera-ra/QC67_cosmo
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 phera-ra/QC67_cosmo # Run inference directly in the terminal: ./llama-cli -hf phera-ra/QC67_cosmo
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 phera-ra/QC67_cosmo # Run inference directly in the terminal: ./build/bin/llama-cli -hf phera-ra/QC67_cosmo
Use Docker
docker model run hf.co/phera-ra/QC67_cosmo
- LM Studio
- Jan
- vLLM
How to use phera-ra/QC67_cosmo with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "phera-ra/QC67_cosmo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "phera-ra/QC67_cosmo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/phera-ra/QC67_cosmo
- Ollama
How to use phera-ra/QC67_cosmo with Ollama:
ollama run hf.co/phera-ra/QC67_cosmo
- Unsloth Studio
How to use phera-ra/QC67_cosmo 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 phera-ra/QC67_cosmo 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 phera-ra/QC67_cosmo to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for phera-ra/QC67_cosmo to start chatting
- Docker Model Runner
How to use phera-ra/QC67_cosmo with Docker Model Runner:
docker model run hf.co/phera-ra/QC67_cosmo
- Lemonade
How to use phera-ra/QC67_cosmo with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull phera-ra/QC67_cosmo
Run and chat with the model
lemonade run user.QC67_cosmo-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
| @echo off | |
| setlocal | |
| title Starling Nexus - Genesis | |
| cd /d "%~dp0" | |
| echo. | |
| echo ================================================== | |
| echo STARLING NEXUS - birth + chat with your being | |
| echo ================================================== | |
| echo. | |
| echo This launcher is drive-relative and works from any extracted folder. | |
| echo Camera and microphone conversion is opt-in in the browser window. | |
| echo Raw media stays in the browser; derived state feeds replies and learning. | |
| echo. | |
| if not exist "%~dp0genesis.py" ( | |
| echo [ERROR] genesis.py is missing beside this launcher. | |
| echo Re-extract the complete genesis_engine folder and try again. | |
| goto failed | |
| ) | |
| if defined GENESIS_PYTHON if exist "%GENESIS_PYTHON%" goto run_override | |
| if exist "%~dp0.venv\Scripts\python.exe" goto run_venv | |
| where py >nul 2>&1 | |
| if not errorlevel 1 ( | |
| py -3 -c "import sys; raise SystemExit(0 if sys.version_info[:2] in [(3,n) for n in range(8,100)] else 1)" >nul 2>&1 | |
| if not errorlevel 1 goto run_py | |
| ) | |
| where python >nul 2>&1 | |
| if not errorlevel 1 ( | |
| python -c "import sys; raise SystemExit(0 if sys.version_info[:2] in [(3,n) for n in range(8,100)] else 1)" >nul 2>&1 | |
| if not errorlevel 1 goto run_python | |
| ) | |
| echo [ERROR] Python 3.8 or newer was not found. | |
| echo Install it from https://www.python.org/downloads/ | |
| echo Tick "Add Python to PATH", then run this file again. | |
| goto failed | |
| :run_override | |
| "%GENESIS_PYTHON%" "%~dp0genesis.py" | |
| goto finished | |
| :run_venv | |
| "%~dp0.venv\Scripts\python.exe" "%~dp0genesis.py" | |
| goto finished | |
| :run_py | |
| py -3 "%~dp0genesis.py" | |
| goto finished | |
| :run_python | |
| python "%~dp0genesis.py" | |
| goto finished | |
| :failed | |
| set "GENESIS_RC=1" | |
| goto close | |
| :finished | |
| set "GENESIS_RC=%ERRORLEVEL%" | |
| :close | |
| echo. | |
| if not "%GENESIS_RC%"=="0" echo Genesis exited with code %GENESIS_RC%. | |
| echo Run START_GENESIS.bat again anytime to return. | |
| if /I "%GENESIS_NO_PAUSE%"=="1" exit /b %GENESIS_RC% | |
| pause | |
| exit /b %GENESIS_RC% | |