Image-Text-to-Text
Transformers
Safetensors
Korean
English
qwen3_5
qwen3.5
multimodal
vision-language
korean
cultural-heritage
ocr
tool-use
long-horizon
conversational
Instructions to use KETI-NLP/Qwen3.5-KETI-HAECHI-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/Qwen3.5-KETI-HAECHI-27B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="KETI-NLP/Qwen3.5-KETI-HAECHI-27B") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("KETI-NLP/Qwen3.5-KETI-HAECHI-27B") model = AutoModelForMultimodalLM.from_pretrained("KETI-NLP/Qwen3.5-KETI-HAECHI-27B", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use KETI-NLP/Qwen3.5-KETI-HAECHI-27B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "KETI-NLP/Qwen3.5-KETI-HAECHI-27B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KETI-NLP/Qwen3.5-KETI-HAECHI-27B", "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/KETI-NLP/Qwen3.5-KETI-HAECHI-27B
- SGLang
How to use KETI-NLP/Qwen3.5-KETI-HAECHI-27B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "KETI-NLP/Qwen3.5-KETI-HAECHI-27B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KETI-NLP/Qwen3.5-KETI-HAECHI-27B", "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 images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "KETI-NLP/Qwen3.5-KETI-HAECHI-27B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KETI-NLP/Qwen3.5-KETI-HAECHI-27B", "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" } } ] } ] }' - Docker Model Runner
How to use KETI-NLP/Qwen3.5-KETI-HAECHI-27B with Docker Model Runner:
docker model run hf.co/KETI-NLP/Qwen3.5-KETI-HAECHI-27B
| { | |
| "generated_at": "2026-09-02 Asia/Seoul", | |
| "official_base": { | |
| "label": "Official Qwen3.5-27B", | |
| "model": "/data/workspace/post-training/outputs/qwen35-27b-official" | |
| }, | |
| "tuned": { | |
| "label": "27B v28cl + 9B heritage recipe", | |
| "model": "/data/workspace/post-training/outputs/qwen35-27b-v28cl-h400-hs100-scale2500-step2500-hf" | |
| }, | |
| "sections": { | |
| "general_multimodal": { | |
| "title": "General multimodal", | |
| "unit": "%", | |
| "rows": [ | |
| { | |
| "benchmark": "General-VL macro (6)", | |
| "official_base": 45.435692508090355, | |
| "tuned": 77.59746683442907, | |
| "delta": 32.161774326338715, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "MMBench_DEV_EN_V11", | |
| "official_base": 30.41795665634675, | |
| "tuned": 90.63467492260062, | |
| "delta": 60.21671826625388, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "MMStar", | |
| "official_base": 39.4, | |
| "tuned": 77.33333333333333, | |
| "delta": 37.93333333333333, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "MMStar_KO", | |
| "official_base": 45.2, | |
| "tuned": 72.33333333333334, | |
| "delta": 27.13333333333334, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "KRETA", | |
| "official_base": 48.544819557625146, | |
| "tuned": 86.14668218859138, | |
| "delta": 37.60186263096624, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "MMMU_Pro_10c", | |
| "official_base": 44.27745664739884, | |
| "tuned": 61.849710982658955, | |
| "delta": 17.572254335260112, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "HallusionBench aAcc", | |
| "official_base": 64.7739221871714, | |
| "tuned": 77.28706624605678, | |
| "delta": 12.513144058885388, | |
| "higher_is_better": true | |
| } | |
| ] | |
| }, | |
| "mammoth_exact": { | |
| "title": "Mammoth exact accuracy", | |
| "unit": "%", | |
| "rows": [ | |
| { | |
| "benchmark": "Heritage macro (3)", | |
| "official_base": 38.064236111111114, | |
| "tuned": 40.212673611111114, | |
| "delta": 2.1484375, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "OCR macro (3)", | |
| "official_base": 19.986979166666668, | |
| "tuned": 22.09201388888889, | |
| "delta": 2.1050347222222214, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_multi_attr", | |
| "official_base": 22.005208333333336, | |
| "tuned": 28.255208333333332, | |
| "delta": 6.2499999999999964, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_reverse_mt", | |
| "official_base": 92.1875, | |
| "tuned": 90.4296875, | |
| "delta": -1.7578125, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_simple", | |
| "official_base": 0.0, | |
| "tuned": 1.953125, | |
| "delta": 1.953125, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_font", | |
| "official_base": 19.661458333333336, | |
| "tuned": 19.661458333333336, | |
| "delta": 0.0, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_outdoor", | |
| "official_base": 36.1328125, | |
| "tuned": 41.40625, | |
| "delta": 5.2734375, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_public_exec", | |
| "official_base": 4.166666666666666, | |
| "tuned": 5.208333333333334, | |
| "delta": 1.0416666666666679, | |
| "higher_is_better": true | |
| } | |
| ] | |
| }, | |
| "mammoth_containment": { | |
| "title": "Mammoth target containment", | |
| "unit": "%", | |
| "rows": [ | |
| { | |
| "benchmark": "Heritage macro (3)", | |
| "official_base": 44.509548611111114, | |
| "tuned": 43.532986111111114, | |
| "delta": -0.9765625, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "OCR macro (3)", | |
| "official_base": 32.46527777777778, | |
| "tuned": 32.682291666666664, | |
| "delta": 0.21701388888888573, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_multi_attr", | |
| "official_base": 35.41666666666667, | |
| "tuned": 35.546875, | |
| "delta": 0.1302083333333286, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_reverse_mt", | |
| "official_base": 97.0703125, | |
| "tuned": 92.578125, | |
| "delta": -4.4921875, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_simple", | |
| "official_base": 1.0416666666666665, | |
| "tuned": 2.473958333333333, | |
| "delta": 1.4322916666666665, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_font", | |
| "official_base": 20.963541666666664, | |
| "tuned": 20.703125, | |
| "delta": -0.2604166666666643, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_outdoor", | |
| "official_base": 70.703125, | |
| "tuned": 70.703125, | |
| "delta": 0.0, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_public_exec", | |
| "official_base": 5.729166666666666, | |
| "tuned": 6.640625, | |
| "delta": 0.9114583333333339, | |
| "higher_is_better": true | |
| } | |
| ] | |
| }, | |
| "mammoth_similarity": { | |
| "title": "Mammoth normalized similarity", | |
| "unit": "%", | |
| "rows": [ | |
| { | |
| "benchmark": "Heritage macro (3)", | |
| "official_base": 45.67948751898416, | |
| "tuned": 50.24511448020419, | |
| "delta": 4.565626961220026, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "OCR macro (3)", | |
| "official_base": 35.003311528557646, | |
| "tuned": 38.594078228628504, | |
| "delta": 3.5907667000708585, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_multi_attr", | |
| "official_base": 39.138042044993455, | |
| "tuned": 44.35905496747352, | |
| "delta": 5.221012922480064, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_reverse_mt", | |
| "official_base": 92.20145089285714, | |
| "tuned": 90.4296875, | |
| "delta": -1.7717633928571388, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_simple", | |
| "official_base": 5.698969619101885, | |
| "tuned": 15.946600973139038, | |
| "delta": 10.247631354037154, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_font", | |
| "official_base": 23.662692823251774, | |
| "tuned": 24.11909867424004, | |
| "delta": 0.4564058509882649, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_outdoor", | |
| "official_base": 59.73377658609783, | |
| "tuned": 64.95582126103372, | |
| "delta": 5.222044674935887, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_public_exec", | |
| "official_base": 21.613465176323324, | |
| "tuned": 26.707314750611744, | |
| "delta": 5.09384957428842, | |
| "higher_is_better": true | |
| } | |
| ] | |
| }, | |
| "mammoth_cer": { | |
| "title": "Mammoth OCR CER", | |
| "unit": "", | |
| "rows": [ | |
| { | |
| "benchmark": "Heritage macro (3)", | |
| "official_base": 2.4568527335179042, | |
| "tuned": 0.6780597172953706, | |
| "delta": -1.7787930162225336, | |
| "higher_is_better": false | |
| }, | |
| { | |
| "benchmark": "OCR macro (3)", | |
| "official_base": 1.533748717968415, | |
| "tuned": 1.1191604625458689, | |
| "delta": -0.4145882554225462, | |
| "higher_is_better": false | |
| }, | |
| { | |
| "benchmark": "heritage_multi_attr", | |
| "official_base": 0.7850436990291016, | |
| "tuned": 0.677648768732552, | |
| "delta": -0.10739493029654967, | |
| "higher_is_better": false | |
| }, | |
| { | |
| "benchmark": "heritage_reverse_mt", | |
| "official_base": 0.1015625, | |
| "tuned": 0.095703125, | |
| "delta": -0.005859375, | |
| "higher_is_better": false | |
| }, | |
| { | |
| "benchmark": "heritage_simple", | |
| "official_base": 6.483952001524611, | |
| "tuned": 1.2608272581535598, | |
| "delta": -5.223124743371051, | |
| "higher_is_better": false | |
| }, | |
| { | |
| "benchmark": "ocr_font", | |
| "official_base": 1.4261008235083443, | |
| "tuned": 1.0366419213313929, | |
| "delta": -0.38945890217695145, | |
| "higher_is_better": false | |
| }, | |
| { | |
| "benchmark": "ocr_outdoor", | |
| "official_base": 1.4172236945053824, | |
| "tuned": 0.9583278563673039, | |
| "delta": -0.45889583813807855, | |
| "higher_is_better": false | |
| }, | |
| { | |
| "benchmark": "ocr_public_exec", | |
| "official_base": 1.7579216358915184, | |
| "tuned": 1.3625116099389096, | |
| "delta": -0.39541002595260877, | |
| "higher_is_better": false | |
| } | |
| ] | |
| }, | |
| "mammoth_line_recall": { | |
| "title": "Mammoth OCR line recall", | |
| "unit": "%", | |
| "rows": [ | |
| { | |
| "benchmark": "Heritage macro (3)", | |
| "official_base": 44.509548611111114, | |
| "tuned": 43.532986111111114, | |
| "delta": -0.9765625, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "OCR macro (3)", | |
| "official_base": 32.46527777777778, | |
| "tuned": 32.682291666666664, | |
| "delta": 0.21701388888888573, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_multi_attr", | |
| "official_base": 35.41666666666667, | |
| "tuned": 35.546875, | |
| "delta": 0.1302083333333286, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_reverse_mt", | |
| "official_base": 97.0703125, | |
| "tuned": 92.578125, | |
| "delta": -4.4921875, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "heritage_simple", | |
| "official_base": 1.0416666666666665, | |
| "tuned": 2.473958333333333, | |
| "delta": 1.4322916666666665, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_font", | |
| "official_base": 20.963541666666664, | |
| "tuned": 20.703125, | |
| "delta": -0.2604166666666643, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_outdoor", | |
| "official_base": 70.703125, | |
| "tuned": 70.703125, | |
| "delta": 0.0, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "ocr_public_exec", | |
| "official_base": 5.729166666666666, | |
| "tuned": 6.640625, | |
| "delta": 0.9114583333333339, | |
| "higher_is_better": true | |
| } | |
| ] | |
| }, | |
| "cultural_title": { | |
| "title": "Cultural heritage title-clean", | |
| "unit": "%", | |
| "rows": [ | |
| { | |
| "benchmark": "overall / exact", | |
| "official_base": 0.1664816870144284, | |
| "tuned": 2.6359600443951163, | |
| "delta": 2.4694783573806878, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "overall / containment", | |
| "official_base": 1.1098779134295227, | |
| "tuned": 3.0521642619311873, | |
| "delta": 1.9422863485016646, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "overall / similarity", | |
| "official_base": 7.251778046465873, | |
| "tuned": 11.112421536897164, | |
| "delta": 3.8606434904312916, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "overall / identity-any exact", | |
| "official_base": 0.3067484662576687, | |
| "tuned": 4.192229038854806, | |
| "delta": 3.885480572597137, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "identity / exact", | |
| "official_base": 0.46475600309837334, | |
| "tuned": 6.893880712625871, | |
| "delta": 6.429124709527498, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "identity / containment", | |
| "official_base": 0.69713400464756, | |
| "tuned": 7.2811773818745165, | |
| "delta": 6.584043377226957, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "identity / similarity", | |
| "official_base": 13.157757278059714, | |
| "tuned": 19.925856031131076, | |
| "delta": 6.768098753071362, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "identity / identity-any exact", | |
| "official_base": 0.6166495375128468, | |
| "tuned": 7.810894141829394, | |
| "delta": 7.194244604316547, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "view_caption / exact", | |
| "official_base": 0.0, | |
| "tuned": 0.25940337224383914, | |
| "delta": 0.25940337224383914, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "view_caption / containment", | |
| "official_base": 1.340250756593169, | |
| "tuned": 0.6917423259835711, | |
| "delta": -0.6485084306095978, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "view_caption / similarity", | |
| "official_base": 3.955358164067407, | |
| "tuned": 6.193206693812002, | |
| "delta": 2.2378485297445945, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "view_caption / identity-any exact", | |
| "official_base": 0.0, | |
| "tuned": 0.40404040404040403, | |
| "delta": 0.40404040404040403, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "national_treasure / exact", | |
| "official_base": 0.0, | |
| "tuned": 9.917355371900827, | |
| "delta": 9.917355371900827, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "national_treasure / containment", | |
| "official_base": 0.6198347107438017, | |
| "tuned": 10.12396694214876, | |
| "delta": 9.504132231404958, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "national_treasure / similarity", | |
| "official_base": 11.473685220749182, | |
| "tuned": 22.91465268948991, | |
| "delta": 11.440967468740727, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "national_treasure / identity-any exact", | |
| "official_base": 0.0, | |
| "tuned": 12.103746397694524, | |
| "delta": 12.103746397694524, | |
| "higher_is_better": true | |
| }, | |
| { | |
| "benchmark": "other / exact", | |
| "official_base": 0.19230769230769232, | |
| "tuned": 1.5064102564102564, | |
| "delta": 1.314102564102564, | |
| "higher_is_better": true | |
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| { | |
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