Instructions to use cortexso/hermes3 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 cortexso/hermes3 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 cortexso/hermes3:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/hermes3:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cortexso/hermes3:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/hermes3: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/hermes3:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf cortexso/hermes3: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/hermes3:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf cortexso/hermes3:Q4_K_M
Use Docker
docker model run hf.co/cortexso/hermes3:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use cortexso/hermes3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cortexso/hermes3" # 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/hermes3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cortexso/hermes3:Q4_K_M
- Ollama
How to use cortexso/hermes3 with Ollama:
ollama run hf.co/cortexso/hermes3:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use cortexso/hermes3 with Docker Model Runner:
docker model run hf.co/cortexso/hermes3:Q4_K_M
- Lemonade
How to use cortexso/hermes3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cortexso/hermes3:Q4_K_M
Run and chat with the model
lemonade run user.hermes3-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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@@ -14,7 +14,7 @@ Hermes 3 was trained with high-quality data, leveraging fine-tuning techniques o
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## Use it with Jan (UI)
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- **Author:** Nous Research
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- **Converter:** [Homebrew](https://www.homebrew.ltd/)
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- **Original License:** [License](https://huggingface.co/
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- **Papers:** [Hermes 3 Technical Report](https://arxiv.org/pdf/2408.11857)
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| 1 | [Hermes3-3b](https://huggingface.co/cortexso/hermes3/tree/main) | `cortex run hermes3:3b` |
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## Use it with Jan (UI)
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- **Author:** Nous Research
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- **Converter:** [Homebrew](https://www.homebrew.ltd/)
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- **Original License:** [License](https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE)
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- **Papers:** [Hermes 3 Technical Report](https://arxiv.org/pdf/2408.11857)
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