Instructions to use Chakimfadlan/Kimfa-0.1-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chakimfadlan/Kimfa-0.1-3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen2.5-3B-Instruct", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Chakimfadlan/Kimfa-0.1-3B") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Kimfa 0.1 3B GGUF

- Prompt
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Model description
Model AI bahasa Indonesia 3B parameter, dilatih dengan QLoRA berbasis Qwen2.5-3B-Instruct. Dilengkapi guardrail dan persona tegas/berbasis fakta. Dirancang untuk inferensi lokal dengan llama.cpp (GGUF Q4_K_M 4-bit).
Dikembangkan oleh mahasiswa Universitas Bangka Belitung (UBB).
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