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internvl3_5-1b-korean-347k
yujuyeon/internvl3_5-1b-korean-347k
internvl3_5-1b-korean-347k is a image-text-to-text model from yujuyeon. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
OpenGVLab/InternVL35-1B 를 한국어 멀티모달 데이터로 파인튜닝한 InternVL3.5 specialist.
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Parameters
1.1B
2.1 GB on disk
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1
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Repo makeup
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.safetensors2.1 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- other
- Model type
- internvl_chat
- Access
- Public
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026
- SHA
- b9e06091
Base models
Model card
From the Hugging Face model README
internvl3_5-1b-korean-347k
OpenGVLab/InternVL3_5-1B 를 한국어 멀티모달 데이터로 파인튜닝한 InternVL3.5 specialist.
| 항목 | 값 |
|---|---|
| Base model | OpenGVLab/InternVL3_5-1B |
| Method | Full FT |
| Domain | 한국어 종합 347k |
Hyperparameters
- num_train_epochs:
5 - steps:
10000/ max13575 - train_batch_size:
2 - peak learning_rate:
3.999999772287927e-05
Training Loss
- init 1.5136 → final 0.3429 (min 0.3178)
| step | loss |
|---|---|
| 10 | 1.5136 |
| 1010 | 0.7029 |
| 2010 | 0.6294 |
| 3010 | 0.5353 |
| 4010 | 0.4988 |
| 5010 | 0.5090 |
| 6010 | 0.4190 |
| 7010 | 0.4065 |
| 8010 | 0.3964 |
| 9010 | 0.3448 |
| 10000 | 0.3429 |
Training Data
구성: 18개 서브셋 (한국어 specialist SFT)
| subset | repeat |
|---|---|
aihub_visual_ShortQA_30k | 1 |
hf_korLlava_Caption_20k | 1 |
llava_ko_recap_30k | 1 |
out_kor_llava_20k | 1 |
chartRqa1_30k | 1 |
chartRqa2_20k | 1 |
tableVqa_Reason_20k | 1 |
tableVqa_Caption_20k | 1 |
aihub_subjectTxt_OCR_20k | 1 |
aihub_visual_OCR_15k | 1 |
kisti_arxiv_OCR_15k | 1 |
kisti_hanbat_Reason_30k | 1 |
kisti_documen_Reason_10k | 1 |
aihub_mathMultiple_kor_M0 | 1 |
aihub_mathSubjective_kor_M0 | 1 |
kisti_hanbat_Vqa_25k | 1 |
hf_latexUpdate_15k | 1 |
aihub_subjectImg_Parse_10k | 1 |
Usage
from transformers import AutoModel, AutoTokenizer
import torch
m = AutoModel.from_pretrained("yujuyeon/internvl3_5-1b-korean-347k", torch_dtype=torch.bfloat16,
trust_remote_code=True).eval().cuda()
tok = AutoTokenizer.from_pretrained("yujuyeon/internvl3_5-1b-korean-347k", trust_remote_code=True, use_fast=False)
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- internvl_chat
- License
- other
- Languages
- ko, en
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026