ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct-Q4_K_M-GGUF

ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct-Q4KM-GGUF

[!WARNING] This repository contains experimental models designed strictly for academic evaluation and research purposes. Critical Constraints: No Production Deployment: Experimental models must not be deployed in commercial, enterprise, or mission-critical environments under any circumstances. No Liability: Experimental models are provided "as-is" without warranties of any kind. The developers assume zero liability for downstream consequences, system integration failures, or regulatory non-compliance resulting from unauthorized deployment.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct-Q4_K_M-GGUF --hf-file kurtis-e1-smollm2-1.7b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct-Q4_K_M-GGUF --hf-file kurtis-e1-smollm2-1.7b-instruct-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct-Q4_K_M-GGUF --hf-file kurtis-e1-smollm2-1.7b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct-Q4_K_M-GGUF --hf-file kurtis-e1-smollm2-1.7b-instruct-q4_k_m.gguf -c 2048