HF-LLM.rs is a CLI tool for accessing Large Language Models (LLMs) like Llama 3.1, Mistral, Gemma 2, Cohere and much more hosted on Hugging Face. It allows you to interact with various models, provide input, and receive responses in a terminal environment.
Also, you can find the list of models supported by this CLI here—the list keeps getting updated as new models are released on the Hugging Face Hub. You might require a Pro subscription to access some models.
Clone the repository:
git clone https://github.com/vaibhavs10/hf-llm.rs.git
Navigate to the project directory:
cd hf-llm.rs
Build the project:
cargo build --release
Verify the installation:
cargo run --release -- --help
To use HF-LLM.rs, follow these steps:
cargo run --release -- -m "meta-llama/Meta-Llama-3.1-70B-Instruct" -p "How to make a dangerously spicy ramen?"
You can also use the chat mode to start an interactive chat session with the LLM.
cargo run --release -- -m "meta-llama/Meta-Llama-3.1-70B-Instruct" -c
Note: Make sure to run huggingface-cli login to log into your Hugging Face account to access some of the models.
This project is licensed under the MIT License. See the LICENSE file for more details.
$ claude mcp add hf-llm.rs \
-- python -m otcore.mcp_server <graph>