Instructions to use pomipower/qwen2.5-coder-1.5b-ssh-honeypot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pomipower/qwen2.5-coder-1.5b-ssh-honeypot with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pomipower/qwen2.5-coder-1.5b-ssh-honeypot") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
Qwen2.5-coder 1.5B ssh-honeypot FineTuned

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Model description
Qwen2.5-coder 1.5B Parameter Model QLoRA FineTuned on 500 Linux commands for an SLM-powered SSH Honeypot.
Download model
Download them in the Files & versions tab.
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