[!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.

This model was converted to GGUF format from ethicalabs/FlowerTune-Qwen2.5-Coder-0.5B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

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

bash

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo mrs83/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF --hf-file flowertune-qwen2.5-coder-0.5b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo mrs83/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF --hf-file flowertune-qwen2.5-coder-0.5b-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 mrs83/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF --hf-file flowertune-qwen2.5-coder-0.5b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo mrs83/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF --hf-file flowertune-qwen2.5-coder-0.5b-instruct-q4_k_m.gguf -c 2048

ethicalabs/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF

mrs83/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF

Use with llama.cpp

CLI:

Server:

ethicalabs/
FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF