How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aitf-komdigi/KomdigiITS-8B-DFKClassification-Merged"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aitf-komdigi/KomdigiITS-8B-DFKClassification-Merged",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'
Use Docker
docker model run hf.co/aitf-komdigi/KomdigiITS-8B-DFKClassification-Merged
Quick Links

KomdigiITS-8B-DFKClassification-Merged

Fine-tuning dari: aitf-komdigi/KomdigiITS-8B-DFK-CPT

Training

  • LoRA Rank: 16
  • LoRA Alpha: 32
  • Epoch: 1
  • LR: 2e-05
  • Max seq length: 4096

Dataset

  • Text Classification DFK (Disinformasi, Fitnah, Ujaran Kebencian)
  • Keyword Extraction
  • Multimodal Classification DFK (Disinformasi, Fitnah, Ujaran Kebencian)

TOTAL DATASET

  • Train Samples: 42981
  • Validation Samples: 5370
  • Testing Samples : 5372

LABEL :

  • DISINFORMASI
  • FITNAH
  • UJARAN KEBENCIAN
  • NETRAL

image

versi transformers : 5.12.0 versi vllm untuk serve model : 0.23.0

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