ethicalabs/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF overview
mrs83/FlowerTune Qwen2.5 Coder 0.5B Instruct Q4 K M GGUF WARNING This repository contains experimental models designed strictly for academic evaluation and res…
Runs locally from ~379.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| flowertune-qwen2.5-coder-0.5b-instruct-q4_k_m.gguf | GGUF | Q4_K_M | 379.4 MB | Download |
Model Details
| Model ID | ethicalabs/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF |
|---|---|
| Author | ethicalabs |
| Pipeline | text-generation |
| License | mit |
| Base model | ethicalabs/FlowerTune-Qwen2.5-Coder-0.5B-Instruct |
| Last modified | 2026-06-19T15:06:45.000Z |
Model README
---
library_name: transformers
tags:
- code
- llama-cpp
- gguf-my-repo
license: mit
language:
- en
base_model: ethicalabs/FlowerTune-Qwen2.5-Coder-0.5B-Instruct
pipeline_tag: text-generation
---
mrs83/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-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.
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)
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"
or
./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 2048Run ethicalabs/FlowerTune-Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models