Instructions to use cortexso/cogito-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use cortexso/cogito-v1 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="cortexso/cogito-v1", filename="cogito-v1-preview-llama-3b-q2_k.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use cortexso/cogito-v1 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf cortexso/cogito-v1:Q4_K_M # Run inference directly in the terminal: llama-cli -hf cortexso/cogito-v1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf cortexso/cogito-v1:Q4_K_M # Run inference directly in the terminal: llama-cli -hf cortexso/cogito-v1:Q4_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 cortexso/cogito-v1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf cortexso/cogito-v1:Q4_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 cortexso/cogito-v1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf cortexso/cogito-v1:Q4_K_M
Use Docker
docker model run hf.co/cortexso/cogito-v1:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use cortexso/cogito-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cortexso/cogito-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cortexso/cogito-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cortexso/cogito-v1:Q4_K_M
- Ollama
How to use cortexso/cogito-v1 with Ollama:
ollama run hf.co/cortexso/cogito-v1:Q4_K_M
- Unsloth Studio new
How to use cortexso/cogito-v1 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 cortexso/cogito-v1 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 cortexso/cogito-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for cortexso/cogito-v1 to start chatting
- Pi new
How to use cortexso/cogito-v1 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf cortexso/cogito-v1:Q4_K_M
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": "cortexso/cogito-v1:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use cortexso/cogito-v1 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf cortexso/cogito-v1:Q4_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 cortexso/cogito-v1:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use cortexso/cogito-v1 with Docker Model Runner:
docker model run hf.co/cortexso/cogito-v1:Q4_K_M
- Lemonade
How to use cortexso/cogito-v1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cortexso/cogito-v1:Q4_K_M
Run and chat with the model
lemonade run user.cogito-v1-Q4_K_M
List all available models
lemonade list
Ctrl+K
- 4.57 kB
- 2.63 kB
- 1.49 GB xet
- 1.98 GB xet
- 1.86 GB xet
- 1.71 GB xet
- 2.24 GB xet
- 2.15 GB xet
- 2.59 GB xet
- 2.54 GB xet
- 2.97 GB xet
- 3.84 GB xet
- 42.5 GB xet
- 3.18 GB xet
- 4.32 GB xet
- 4.02 GB xet
- 3.66 GB xet
- 4.92 GB xet
- 4.69 GB xet
- 5.73 GB xet
- 5.6 GB xet
- 6.6 GB xet
- 8.54 GB xet
- 5.77 GB xet
- 7.92 GB xet
- 7.34 GB xet
- 6.66 GB xet
- 8.99 GB xet
- 8.57 GB xet
- 10.5 GB xet
- 10.3 GB xet
- 12.1 GB xet
- 15.7 GB xet
- 12.3 GB xet
- 17.2 GB xet
- 15.9 GB xet
- 14.4 GB xet
- 19.8 GB xet
- 18.8 GB xet
- 23.3 GB xet
- 22.6 GB xet
- 26.9 GB xet
- 34.8 GB xet
- 59 Bytes
- 862 Bytes