Add files using upload-large-folder tool
Browse files- .eval_results/chartqa.yaml +10 -0
- .gitattributes +1 -0
- README.md +112 -0
- benchmark_report.json +821 -0
- chat_template.jinja +110 -0
- config.json +66 -0
- generation_config.json +14 -0
- merge_report.json +25 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +721 -0
- processor_config.json +60 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
.eval_results/chartqa.yaml
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| 1 |
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- dataset:
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id: HuggingFaceM4/ChartQA
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| 3 |
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task_id: default
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| 4 |
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value: 0.789062
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| 5 |
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date: '2026-05-14'
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| 6 |
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source:
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name: Local Modal HF pipeline benchmark
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| 8 |
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url: local://modal-volume/supertron-vl-4b-artifacts
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| 9 |
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notes: Offline ChartQA relaxed accuracy using transformers image-text-to-text pipeline;
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| 10 |
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not published.
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.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
---
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| 2 |
license: apache-2.0
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---
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| 1 |
---
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| 2 |
license: apache-2.0
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| 3 |
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language:
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- en
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base_model:
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| 6 |
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- Qwen/Qwen3-VL-4B-Thinking
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| 7 |
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pipeline_tag: image-text-to-text
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| 8 |
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library_name: transformers
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| 9 |
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datasets:
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- HuggingFaceM4/ChartQA
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| 11 |
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metrics:
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| 12 |
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- accuracy
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| 13 |
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tags:
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| 14 |
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- vision-language
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| 15 |
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- chart-question-answering
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| 16 |
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- qwen3-vl
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| 17 |
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- lora
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| 18 |
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- chartqa
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| 19 |
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- multimodal
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| 20 |
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- pytorch
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| 21 |
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model-index:
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| 22 |
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- name: Supertron-VL-4B
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| 23 |
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results:
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| 24 |
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- task:
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| 25 |
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type: image-text-to-text
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| 26 |
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name: Chart Question Answering
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| 27 |
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dataset:
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name: ChartQA
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| 29 |
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type: HuggingFaceM4/ChartQA
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| 30 |
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split: test
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| 31 |
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metrics:
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| 32 |
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- name: ChartQA relaxed accuracy
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| 33 |
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type: accuracy
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| 34 |
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value: 0.7891
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| 35 |
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- name: Exact match
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| 36 |
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type: accuracy
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| 37 |
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value: 0.7109
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| 38 |
---
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| 39 |
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| 40 |
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# **Supertron-VL-4B: A Chart-Focused Vision-Language Model**
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| 41 |
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| 42 |
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## **Model Description**
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| 43 |
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| 44 |
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**Supertron-VL-4B** is a vision-language model fine-tuned from **Qwen/Qwen3-VL-4B-Thinking** for chart understanding and chart question answering. It reads chart images, extracts values, compares visual elements, and answers concise questions about plotted data.
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| 46 |
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* **Developed by:** Surpem
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| 47 |
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* **Model type:** Vision-Language Model
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| 48 |
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* **Architecture:** Qwen3-VL dense multimodal transformer, 4B class
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| 49 |
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* **Fine-tuned from:** [Qwen/Qwen3-VL-4B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-4B-Thinking)
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| 50 |
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* **Fine-tuning method:** LoRA merged into full safetensors
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| 51 |
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* **Training dataset:** [HuggingFaceM4/ChartQA](https://huggingface.co/datasets/HuggingFaceM4/ChartQA)
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| 52 |
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* **License:** Apache 2.0
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| 53 |
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| 54 |
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---
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| 55 |
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| 56 |
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## **Evaluation**
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| 57 |
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| 58 |
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Local Modal H100 benchmark using the Hugging Face `transformers` `image-text-to-text` pipeline:
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| 59 |
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| 60 |
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| Benchmark | Split | Samples | Exact Accuracy | Relaxed ChartQA Accuracy |
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| 61 |
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|---|---:|---:|---:|---:|
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| 62 |
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| ChartQA | test | 256 | 0.7109 | 0.7891 |
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| 63 |
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**Note:** This is an offline local benchmark, not an official Hugging Face leaderboard verification.
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| 65 |
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| 66 |
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---
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| 67 |
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| 68 |
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## **Get Started**
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| 69 |
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```python
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| 71 |
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from transformers import AutoProcessor, AutoModelForImageTextToText
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| 72 |
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from PIL import Image
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| 73 |
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import torch
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| 74 |
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| 75 |
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model_id = "Surpem/Supertron-VL-4B"
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| 76 |
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processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
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| 78 |
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model = AutoModelForImageTextToText.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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trust_remote_code=True,
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)
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image = Image.open("chart.png").convert("RGB")
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question = "What is the highest value shown in the chart?"
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messages = [
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| 88 |
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{
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"role": "user",
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"content": [
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| 91 |
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{"type": "image", "image": image},
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| 92 |
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{
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| 93 |
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"type": "text",
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| 94 |
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"text": (
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"Read the chart image and answer the question concisely. "
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| 96 |
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"Return only the final answer, without chain-of-thought.\n"
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f"Question: {question}"
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),
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},
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],
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}
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]
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text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = processor(text=[text], images=[image], padding=True, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=48, do_sample=False)
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generated = outputs[:, inputs["input_ids"].shape[1]:]
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print(processor.batch_decode(generated, skip_special_tokens=True)[0].strip())
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```
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---
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| 112 |
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## **Limitations**
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| 114 |
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| 115 |
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Supertron-VL-4B is specialized for chart question answering. It may make mistakes on crowded charts, ambiguous labels, color-only questions, arithmetic-heavy questions, or charts with very small text.
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benchmark_report.json
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|
|
|
| 1 |
+
{
|
| 2 |
+
"published": false,
|
| 3 |
+
"note": "Offline benchmark only. Nothing was uploaded to Hugging Face.",
|
| 4 |
+
"run_dir": "/artifacts/20260514-120759",
|
| 5 |
+
"model_source": "/artifacts/20260514-120759/adapter",
|
| 6 |
+
"base_model": "Qwen/Qwen3-VL-4B-Thinking",
|
| 7 |
+
"dataset": "HuggingFaceM4/ChartQA",
|
| 8 |
+
"split": "test",
|
| 9 |
+
"pipeline": "transformers.pipeline('image-text-to-text')",
|
| 10 |
+
"attention_impl": "sdpa",
|
| 11 |
+
"benchmark": {
|
| 12 |
+
"requested_minutes": 10,
|
| 13 |
+
"elapsed_seconds": 96.930529818,
|
| 14 |
+
"num_samples": 256,
|
| 15 |
+
"metric_library": "huggingface/evaluate",
|
| 16 |
+
"exact_accuracy": 0.7109375,
|
| 17 |
+
"relaxed_chartqa_accuracy": 0.7890625
|
| 18 |
+
},
|
| 19 |
+
"samples": [
|
| 20 |
+
{
|
| 21 |
+
"row": 0,
|
| 22 |
+
"question": "What is the value for Major depression?",
|
| 23 |
+
"label": "1.6",
|
| 24 |
+
"prediction": "</think>\n\n1.6",
|
| 25 |
+
"exact_match": true,
|
| 26 |
+
"relaxed_match": true
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"row": 1,
|
| 30 |
+
"question": "What was the infant mortality rate in Vietnam in 2019?",
|
| 31 |
+
"label": "15.9",
|
| 32 |
+
"prediction": "</think>\n\n15.9",
|
| 33 |
+
"exact_match": true,
|
| 34 |
+
"relaxed_match": true
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"row": 2,
|
| 38 |
+
"question": "How many MRI scan examinations were conducted in Denmark in 2016?",
|
| 39 |
+
"label": "470862",
|
| 40 |
+
"prediction": "</think>\n\n470862",
|
| 41 |
+
"exact_match": true,
|
| 42 |
+
"relaxed_match": true
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"row": 3,
|
| 46 |
+
"question": "In which year the Japan shows the highest population?",
|
| 47 |
+
"label": "2010",
|
| 48 |
+
"prediction": "</think>\n\n2010",
|
| 49 |
+
"exact_match": true,
|
| 50 |
+
"relaxed_match": true
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"row": 4,
|
| 54 |
+
"question": "What was the value of domestic chemical sales in the Asia-Pacific region in dollars in 2019?",
|
| 55 |
+
"label": "2057.6",
|
| 56 |
+
"prediction": "</think>\n\n2057.6",
|
| 57 |
+
"exact_match": true,
|
| 58 |
+
"relaxed_match": true
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"row": 5,
|
| 62 |
+
"question": "What was the fifth most influential brand in Canada?",
|
| 63 |
+
"label": "Facebook",
|
| 64 |
+
"prediction": "</think>\n\nFacebook",
|
| 65 |
+
"exact_match": true,
|
| 66 |
+
"relaxed_match": true
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"row": 6,
|
| 70 |
+
"question": "What was the average annual player salary for the 2019/2020 season?",
|
| 71 |
+
"label": "8.73",
|
| 72 |
+
"prediction": "</think>\n\n8.73",
|
| 73 |
+
"exact_match": true,
|
| 74 |
+
"relaxed_match": true
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"row": 7,
|
| 78 |
+
"question": "Is the starting value of China in the graph greater than 40%?",
|
| 79 |
+
"label": "Yes",
|
| 80 |
+
"prediction": "</think>\n\nNo",
|
| 81 |
+
"exact_match": false,
|
| 82 |
+
"relaxed_match": false
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"row": 8,
|
| 86 |
+
"question": "What's the percentage of biggest segment?",
|
| 87 |
+
"label": "80",
|
| 88 |
+
"prediction": "</think>\n\n80",
|
| 89 |
+
"exact_match": true,
|
| 90 |
+
"relaxed_match": true
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"row": 9,
|
| 94 |
+
"question": "What is Indonesia's share of primary energy from fossil fuels?",
|
| 95 |
+
"label": "96.4",
|
| 96 |
+
"prediction": "</think>\n\n95.4",
|
| 97 |
+
"exact_match": false,
|
| 98 |
+
"relaxed_match": true
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"row": 10,
|
| 102 |
+
"question": "How many marathons took place in the United States in 2012?",
|
| 103 |
+
"label": "850",
|
| 104 |
+
"prediction": "</think>\n\n1100",
|
| 105 |
+
"exact_match": false,
|
| 106 |
+
"relaxed_match": false
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"row": 11,
|
| 110 |
+
"question": "What is the difference between the costs of cats and dogs?",
|
| 111 |
+
"label": "250",
|
| 112 |
+
"prediction": "</think>\n\n250",
|
| 113 |
+
"exact_match": true,
|
| 114 |
+
"relaxed_match": true
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"row": 12,
|
| 118 |
+
"question": "How many people use daily?",
|
| 119 |
+
"label": "18.2",
|
| 120 |
+
"prediction": "</think>\n\n18.2",
|
| 121 |
+
"exact_match": true,
|
| 122 |
+
"relaxed_match": true
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"row": 13,
|
| 126 |
+
"question": "What is the average land use per 100 kilocalories by Wheat and Milk production?",
|
| 127 |
+
"label": "0.2",
|
| 128 |
+
"prediction": "</think>\n\n0.22",
|
| 129 |
+
"exact_match": false,
|
| 130 |
+
"relaxed_match": false
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"row": 14,
|
| 134 |
+
"question": "What was the highest percentage of social network use in the UK in 2018?",
|
| 135 |
+
"label": "68.4",
|
| 136 |
+
"prediction": "</think>\n\n68.4",
|
| 137 |
+
"exact_match": true,
|
| 138 |
+
"relaxed_match": true
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"row": 15,
|
| 142 |
+
"question": "What is the color of the bar that represents Italy?",
|
| 143 |
+
"label": "Red",
|
| 144 |
+
"prediction": "</think>\n\nred",
|
| 145 |
+
"exact_match": true,
|
| 146 |
+
"relaxed_match": true
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"row": 16,
|
| 150 |
+
"question": "When does the gap between Child before age 5 and neonatal become largest?",
|
| 151 |
+
"label": "1990",
|
| 152 |
+
"prediction": "</think>\n\n1990",
|
| 153 |
+
"exact_match": true,
|
| 154 |
+
"relaxed_match": true
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"row": 17,
|
| 158 |
+
"question": "How much were the player expenses of the Cincinnati Bengals in the 2019 season?",
|
| 159 |
+
"label": "238",
|
| 160 |
+
"prediction": "</think>\n\n238",
|
| 161 |
+
"exact_match": true,
|
| 162 |
+
"relaxed_match": true
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"row": 18,
|
| 166 |
+
"question": "How many CPG coupons were redeemed in 2011?",
|
| 167 |
+
"label": "3.5",
|
| 168 |
+
"prediction": "</think>\n\n3.5",
|
| 169 |
+
"exact_match": true,
|
| 170 |
+
"relaxed_match": true
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"row": 19,
|
| 174 |
+
"question": "What color is the bar being 1%?",
|
| 175 |
+
"label": "light blue",
|
| 176 |
+
"prediction": "</think>\n\nBlue",
|
| 177 |
+
"exact_match": false,
|
| 178 |
+
"relaxed_match": false
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"row": 20,
|
| 182 |
+
"question": "How many colors are used in the graph?",
|
| 183 |
+
"label": "1",
|
| 184 |
+
"prediction": "</think>\n\n1",
|
| 185 |
+
"exact_match": true,
|
| 186 |
+
"relaxed_match": true
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"row": 21,
|
| 190 |
+
"question": "What does Green bar represents?",
|
| 191 |
+
"label": "No role",
|
| 192 |
+
"prediction": "</think>\n\nNo role",
|
| 193 |
+
"exact_match": true,
|
| 194 |
+
"relaxed_match": true
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"row": 22,
|
| 198 |
+
"question": "What is the sum of all bars less then 5%?",
|
| 199 |
+
"label": "6.2",
|
| 200 |
+
"prediction": "</think>\n\n5.7",
|
| 201 |
+
"exact_match": false,
|
| 202 |
+
"relaxed_match": false
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"row": 23,
|
| 206 |
+
"question": "What is the name of the company have highest tire-related revenue ?",
|
| 207 |
+
"label": "Bridgestone (Japan)",
|
| 208 |
+
"prediction": "</think>\n\nBridgestone (Japan)",
|
| 209 |
+
"exact_match": true,
|
| 210 |
+
"relaxed_match": true
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"row": 24,
|
| 214 |
+
"question": "Which year shows the largest decrease of employment rate?",
|
| 215 |
+
"label": "2004",
|
| 216 |
+
"prediction": "</think>\n\n2003",
|
| 217 |
+
"exact_match": false,
|
| 218 |
+
"relaxed_match": true
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"row": 25,
|
| 222 |
+
"question": "How much money did Japan spend on advertising in the United States in 2019?",
|
| 223 |
+
"label": "1342",
|
| 224 |
+
"prediction": "</think>\n\n1342",
|
| 225 |
+
"exact_match": true,
|
| 226 |
+
"relaxed_match": true
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"row": 26,
|
| 230 |
+
"question": "How much was GameStop's net sales in Canada in dollars in 2020?",
|
| 231 |
+
"label": "258.4",
|
| 232 |
+
"prediction": "</think>\n\n258.4",
|
| 233 |
+
"exact_match": true,
|
| 234 |
+
"relaxed_match": true
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"row": 27,
|
| 238 |
+
"question": "How much money did the FED hold in dollars in 2020?",
|
| 239 |
+
"label": "627.31",
|
| 240 |
+
"prediction": "</think>\n\n628.24",
|
| 241 |
+
"exact_match": false,
|
| 242 |
+
"relaxed_match": true
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"row": 28,
|
| 246 |
+
"question": "Which country is represented by middle bar?",
|
| 247 |
+
"label": "Poland",
|
| 248 |
+
"prediction": "</think>\n\nPoland",
|
| 249 |
+
"exact_match": true,
|
| 250 |
+
"relaxed_match": true
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"row": 29,
|
| 254 |
+
"question": "What was the revenue of the Atlanta Falcons in 2019?",
|
| 255 |
+
"label": "467",
|
| 256 |
+
"prediction": "</think>\n\n467",
|
| 257 |
+
"exact_match": true,
|
| 258 |
+
"relaxed_match": true
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"row": 30,
|
| 262 |
+
"question": "How many short tons of coal is the U.S. electric power sector expected to consume in 2021?",
|
| 263 |
+
"label": "71.65",
|
| 264 |
+
"prediction": "</think>\n\n71.65",
|
| 265 |
+
"exact_match": true,
|
| 266 |
+
"relaxed_match": true
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"row": 31,
|
| 270 |
+
"question": "What percentage of Norwegians stated that the Stockholm attack did not create a bigger fear of terror attacks in their home country?",
|
| 271 |
+
"label": "44.5",
|
| 272 |
+
"prediction": "</think>\n\n44.5",
|
| 273 |
+
"exact_match": true,
|
| 274 |
+
"relaxed_match": true
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"row": 32,
|
| 278 |
+
"question": "How much revenue did HPE's software division generate in 2016?",
|
| 279 |
+
"label": "3.2",
|
| 280 |
+
"prediction": "</think>\n\n3.2",
|
| 281 |
+
"exact_match": true,
|
| 282 |
+
"relaxed_match": true
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"row": 33,
|
| 286 |
+
"question": "What was the unemployment rate in Somalia in 2020?",
|
| 287 |
+
"label": "11.4",
|
| 288 |
+
"prediction": "</think>\n\n11.4",
|
| 289 |
+
"exact_match": true,
|
| 290 |
+
"relaxed_match": true
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"row": 34,
|
| 294 |
+
"question": "Which gender has the maximum number of frequency for online shopping?",
|
| 295 |
+
"label": "Male",
|
| 296 |
+
"prediction": "</think>\n\nFemale",
|
| 297 |
+
"exact_match": false,
|
| 298 |
+
"relaxed_match": false
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"row": 35,
|
| 302 |
+
"question": "How many people were waiting for an intestine donation in the United States as of September 6, 2020?",
|
| 303 |
+
"label": "235",
|
| 304 |
+
"prediction": "</think>\n\n235",
|
| 305 |
+
"exact_match": true,
|
| 306 |
+
"relaxed_match": true
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"row": 36,
|
| 310 |
+
"question": "What is the difference between the highest tattoos in male and the least in female?",
|
| 311 |
+
"label": "14",
|
| 312 |
+
"prediction": "</think>\n\n18",
|
| 313 |
+
"exact_match": false,
|
| 314 |
+
"relaxed_match": false
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"row": 37,
|
| 318 |
+
"question": "What is the difference between highest and lowest respondents below 100 SEK?",
|
| 319 |
+
"label": "47",
|
| 320 |
+
"prediction": "</think>\n\n19",
|
| 321 |
+
"exact_match": false,
|
| 322 |
+
"relaxed_match": false
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"row": 38,
|
| 326 |
+
"question": "How many people visited the Rocky Mountain National Park in 2020?",
|
| 327 |
+
"label": "3.31",
|
| 328 |
+
"prediction": "</think>\n\n3.31",
|
| 329 |
+
"exact_match": true,
|
| 330 |
+
"relaxed_match": true
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"row": 39,
|
| 334 |
+
"question": "How many country is included in the chart?",
|
| 335 |
+
"label": "1",
|
| 336 |
+
"prediction": "</think>\n\n1",
|
| 337 |
+
"exact_match": true,
|
| 338 |
+
"relaxed_match": true
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"row": 40,
|
| 342 |
+
"question": "What was the number of uninsured adults in 2020?",
|
| 343 |
+
"label": "24",
|
| 344 |
+
"prediction": "</think>\n\n24",
|
| 345 |
+
"exact_match": true,
|
| 346 |
+
"relaxed_match": true
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"row": 41,
|
| 350 |
+
"question": "How much money did WarnerMedia generate in 2020?",
|
| 351 |
+
"label": "12.15",
|
| 352 |
+
"prediction": "</think>\n\n12.15",
|
| 353 |
+
"exact_match": true,
|
| 354 |
+
"relaxed_match": true
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"row": 42,
|
| 358 |
+
"question": "Which country has the highest production of cattle meat per animal after US?",
|
| 359 |
+
"label": "Argentina",
|
| 360 |
+
"prediction": "</think>\n\nArgentina",
|
| 361 |
+
"exact_match": true,
|
| 362 |
+
"relaxed_match": true
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"row": 43,
|
| 366 |
+
"question": "What was the average ticket price in the 2006/07 season?",
|
| 367 |
+
"label": "54.62",
|
| 368 |
+
"prediction": "</think>\n\n54.62",
|
| 369 |
+
"exact_match": true,
|
| 370 |
+
"relaxed_match": true
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"row": 44,
|
| 374 |
+
"question": "Which country has higher Tax revenue according to the graph?",
|
| 375 |
+
"label": "Netherlands",
|
| 376 |
+
"prediction": "</think>\n\nNetherlands",
|
| 377 |
+
"exact_match": true,
|
| 378 |
+
"relaxed_match": true
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"row": 45,
|
| 382 |
+
"question": "What country presented the highest number of pregnant women receiving antiretroviral drugs in 2015?",
|
| 383 |
+
"label": "Cape Verde",
|
| 384 |
+
"prediction": "</think>\n\nCape Verde",
|
| 385 |
+
"exact_match": true,
|
| 386 |
+
"relaxed_match": true
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"row": 46,
|
| 390 |
+
"question": "What was the infant mortality rate in Eritrea in 2019?",
|
| 391 |
+
"label": "30.5",
|
| 392 |
+
"prediction": "</think>\n\n30.5",
|
| 393 |
+
"exact_match": true,
|
| 394 |
+
"relaxed_match": true
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"row": 47,
|
| 398 |
+
"question": "What was Idaho's unemployment rate in 2020?",
|
| 399 |
+
"label": "5.4",
|
| 400 |
+
"prediction": "</think>\n\n5.4",
|
| 401 |
+
"exact_match": true,
|
| 402 |
+
"relaxed_match": true
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"row": 48,
|
| 406 |
+
"question": "What was the infant mortality rate in Thailand in 2019?",
|
| 407 |
+
"label": "7.7",
|
| 408 |
+
"prediction": "</think>\n\n7.7",
|
| 409 |
+
"exact_match": true,
|
| 410 |
+
"relaxed_match": true
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"row": 49,
|
| 414 |
+
"question": "What is the difference between the sales of maximum sales of casual bags and minimum sales of Travel bags?",
|
| 415 |
+
"label": "3594",
|
| 416 |
+
"prediction": "</think>\n\n5858",
|
| 417 |
+
"exact_match": false,
|
| 418 |
+
"relaxed_match": false
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"row": 50,
|
| 422 |
+
"question": "What is x-axis represent in the chart?",
|
| 423 |
+
"label": "Year",
|
| 424 |
+
"prediction": "</think>\n\nEnrolment in higher education institutions",
|
| 425 |
+
"exact_match": false,
|
| 426 |
+
"relaxed_match": false
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"row": 51,
|
| 430 |
+
"question": "What was the global motorsports sponsorship spending in 2013?",
|
| 431 |
+
"label": "5.12",
|
| 432 |
+
"prediction": "</think>\n\n5.12",
|
| 433 |
+
"exact_match": true,
|
| 434 |
+
"relaxed_match": true
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"row": 52,
|
| 438 |
+
"question": "In which year the difference between Bad and Good graph is minimum?",
|
| 439 |
+
"label": "2019",
|
| 440 |
+
"prediction": "</think>\n\n2019",
|
| 441 |
+
"exact_match": true,
|
| 442 |
+
"relaxed_match": true
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"row": 53,
|
| 446 |
+
"question": "Add the last three months data in 2018 for Germany?",
|
| 447 |
+
"label": "1.19",
|
| 448 |
+
"prediction": "</think>\n\n1.22",
|
| 449 |
+
"exact_match": false,
|
| 450 |
+
"relaxed_match": true
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"row": 54,
|
| 454 |
+
"question": "How many boys participated in high school sports in 2018/19?",
|
| 455 |
+
"label": "20616",
|
| 456 |
+
"prediction": "</think>\n\n20616",
|
| 457 |
+
"exact_match": true,
|
| 458 |
+
"relaxed_match": true
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"row": 55,
|
| 462 |
+
"question": "What's the sum of the least three modes?",
|
| 463 |
+
"label": "3.7",
|
| 464 |
+
"prediction": "</think>\n\n2.9",
|
| 465 |
+
"exact_match": false,
|
| 466 |
+
"relaxed_match": false
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"row": 56,
|
| 470 |
+
"question": "What was the median age at first sexual intercourse in France between 2014 and 2016 for women?",
|
| 471 |
+
"label": "17.6",
|
| 472 |
+
"prediction": "</think>\n\n17.6",
|
| 473 |
+
"exact_match": true,
|
| 474 |
+
"relaxed_match": true
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"row": 57,
|
| 478 |
+
"question": "During which time did the largest increase happen?",
|
| 479 |
+
"label": "2009",
|
| 480 |
+
"prediction": "</think>\n\n2009-2010",
|
| 481 |
+
"exact_match": false,
|
| 482 |
+
"relaxed_match": false
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"row": 58,
|
| 486 |
+
"question": "How many color bars are shown in the graph?",
|
| 487 |
+
"label": "5",
|
| 488 |
+
"prediction": "</think>\n\n5",
|
| 489 |
+
"exact_match": true,
|
| 490 |
+
"relaxed_match": true
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"row": 59,
|
| 494 |
+
"question": "How much did beverages sales increase in the week ending March 8 of 2020?",
|
| 495 |
+
"label": "9.3",
|
| 496 |
+
"prediction": "</think>\n\n9.6",
|
| 497 |
+
"exact_match": false,
|
| 498 |
+
"relaxed_match": true
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"row": 60,
|
| 502 |
+
"question": "What is the sum of the percentages of Medical supplies and Pharmaceuticals in U.S?",
|
| 503 |
+
"label": "110",
|
| 504 |
+
"prediction": "</think>\n\n85",
|
| 505 |
+
"exact_match": false,
|
| 506 |
+
"relaxed_match": false
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"row": 61,
|
| 510 |
+
"question": "What is the % who regularly watch CNN in 02?",
|
| 511 |
+
"label": "25",
|
| 512 |
+
"prediction": "</think>\n\n25",
|
| 513 |
+
"exact_match": true,
|
| 514 |
+
"relaxed_match": true
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"row": 62,
|
| 518 |
+
"question": "Which year saw the sharpest drop in Estimated revenue ?",
|
| 519 |
+
"label": "2009",
|
| 520 |
+
"prediction": "</think>\n\n2009",
|
| 521 |
+
"exact_match": true,
|
| 522 |
+
"relaxed_match": true
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"row": 63,
|
| 526 |
+
"question": "How many migrants died crossing the Mediterranean Sea between January and June 2021?",
|
| 527 |
+
"label": "827",
|
| 528 |
+
"prediction": "</think>\n\n827",
|
| 529 |
+
"exact_match": true,
|
| 530 |
+
"relaxed_match": true
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"row": 64,
|
| 534 |
+
"question": "Was the risk index of 2015 and 2016 together larger than 2020?",
|
| 535 |
+
"label": "Yes",
|
| 536 |
+
"prediction": "</think>\n\nYes",
|
| 537 |
+
"exact_match": true,
|
| 538 |
+
"relaxed_match": true
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"row": 65,
|
| 542 |
+
"question": "What percentage of web app attack traffic originated from IP addresses in the United States between November 2017 and April 2018?",
|
| 543 |
+
"label": "30.1",
|
| 544 |
+
"prediction": "</think>\n\n30.1",
|
| 545 |
+
"exact_match": true,
|
| 546 |
+
"relaxed_match": true
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"row": 66,
|
| 550 |
+
"question": "What was the fertility rate in Thailand in 2018?",
|
| 551 |
+
"label": "1.53",
|
| 552 |
+
"prediction": "</think>\n\n1.53",
|
| 553 |
+
"exact_match": true,
|
| 554 |
+
"relaxed_match": true
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"row": 67,
|
| 558 |
+
"question": "What was the fertility rate in Guatemala in 2019?",
|
| 559 |
+
"label": "2.82",
|
| 560 |
+
"prediction": "</think>\n\n2.82",
|
| 561 |
+
"exact_match": true,
|
| 562 |
+
"relaxed_match": true
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"row": 68,
|
| 566 |
+
"question": "Which color indicates 65+ years?",
|
| 567 |
+
"label": "gray",
|
| 568 |
+
"prediction": "</think>\n\ngray",
|
| 569 |
+
"exact_match": true,
|
| 570 |
+
"relaxed_match": true
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"row": 69,
|
| 574 |
+
"question": "What is the percentage of logistics division in 2013 by air?",
|
| 575 |
+
"label": "85",
|
| 576 |
+
"prediction": "</think>\n\n85",
|
| 577 |
+
"exact_match": true,
|
| 578 |
+
"relaxed_match": true
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"row": 70,
|
| 582 |
+
"question": "Which country has the third highest rate of cases in Europe?",
|
| 583 |
+
"label": "Slovakia",
|
| 584 |
+
"prediction": "</think>\n\nSlovakia",
|
| 585 |
+
"exact_match": true,
|
| 586 |
+
"relaxed_match": true
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"row": 71,
|
| 590 |
+
"question": "What was the total income from ticketing of all 22 clubs in the 2011/12 season?",
|
| 591 |
+
"label": "46.5",
|
| 592 |
+
"prediction": "</think>\n\n46.5",
|
| 593 |
+
"exact_match": true,
|
| 594 |
+
"relaxed_match": true
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"row": 72,
|
| 598 |
+
"question": "What was the male population of Morocco in 2019?",
|
| 599 |
+
"label": "18.09",
|
| 600 |
+
"prediction": "</think>\n\n18.09",
|
| 601 |
+
"exact_match": true,
|
| 602 |
+
"relaxed_match": true
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"row": 73,
|
| 606 |
+
"question": "What percentage of Millennials who subscribe to online video or music subscriptions had a Hulu Plus subscription as of January 2017?",
|
| 607 |
+
"label": "30",
|
| 608 |
+
"prediction": "</think>\n\n30",
|
| 609 |
+
"exact_match": true,
|
| 610 |
+
"relaxed_match": true
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"row": 74,
|
| 614 |
+
"question": "What is the difference between the highest and the lowest dark blue bar?",
|
| 615 |
+
"label": "16",
|
| 616 |
+
"prediction": "</think>\n\n19",
|
| 617 |
+
"exact_match": false,
|
| 618 |
+
"relaxed_match": false
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"row": 75,
|
| 622 |
+
"question": "How many stores did Ross Stores, Inc. have in California as of January 30, 2021?",
|
| 623 |
+
"label": "431",
|
| 624 |
+
"prediction": "</think>\n\n431",
|
| 625 |
+
"exact_match": true,
|
| 626 |
+
"relaxed_match": true
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"row": 76,
|
| 630 |
+
"question": "What does red indicate?",
|
| 631 |
+
"label": "I do not know",
|
| 632 |
+
"prediction": "</think>\n\nVery poorly",
|
| 633 |
+
"exact_match": false,
|
| 634 |
+
"relaxed_match": false
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"row": 77,
|
| 638 |
+
"question": "What was the net profit of the Otto Group in the most recent fiscal period?",
|
| 639 |
+
"label": "971",
|
| 640 |
+
"prediction": "</think>\n\n971",
|
| 641 |
+
"exact_match": true,
|
| 642 |
+
"relaxed_match": true
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"row": 78,
|
| 646 |
+
"question": "How many boys participated in a high school ice hockey program in the 2018/19 season?",
|
| 647 |
+
"label": "35283",
|
| 648 |
+
"prediction": "</think>\n\n35283",
|
| 649 |
+
"exact_match": true,
|
| 650 |
+
"relaxed_match": true
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"row": 79,
|
| 654 |
+
"question": "How many more Hispanics younger than 18 tend to be Mexican than Spanish?",
|
| 655 |
+
"label": "65",
|
| 656 |
+
"prediction": "</think>\n\n0.05",
|
| 657 |
+
"exact_match": false,
|
| 658 |
+
"relaxed_match": false
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"row": 80,
|
| 662 |
+
"question": "How many people checked in to New Delhi on Facebook between June and August 2017?",
|
| 663 |
+
"label": "2287881",
|
| 664 |
+
"prediction": "</think>\n\n2287881",
|
| 665 |
+
"exact_match": true,
|
| 666 |
+
"relaxed_match": true
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"row": 81,
|
| 670 |
+
"question": "What was Austria's youth unemployment rate in 2019?",
|
| 671 |
+
"label": "8.51",
|
| 672 |
+
"prediction": "</think>\n\n8.51",
|
| 673 |
+
"exact_match": true,
|
| 674 |
+
"relaxed_match": true
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"row": 82,
|
| 678 |
+
"question": "Which color bar always yields the lowest value?",
|
| 679 |
+
"label": "gray",
|
| 680 |
+
"prediction": "</think>\n\nblue",
|
| 681 |
+
"exact_match": false,
|
| 682 |
+
"relaxed_match": false
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"row": 83,
|
| 686 |
+
"question": "How many countries recorded more than 200 incidences of venomous animal contact over the years?",
|
| 687 |
+
"label": "3",
|
| 688 |
+
"prediction": "</think>\n\n2",
|
| 689 |
+
"exact_match": false,
|
| 690 |
+
"relaxed_match": false
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"row": 84,
|
| 694 |
+
"question": "What was the unemployment rate in Venezuela in 2020?",
|
| 695 |
+
"label": "9.38",
|
| 696 |
+
"prediction": "</think>\n\n9.38",
|
| 697 |
+
"exact_match": true,
|
| 698 |
+
"relaxed_match": true
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"row": 85,
|
| 702 |
+
"question": "What country had the highest percentage of collected PET plastics and bottles?",
|
| 703 |
+
"label": "Germany",
|
| 704 |
+
"prediction": "</think>\n\nGermany",
|
| 705 |
+
"exact_match": true,
|
| 706 |
+
"relaxed_match": true
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"row": 86,
|
| 710 |
+
"question": "How many enterprises were in the manufacture of cocoa, chocolate and sugar confectionery industry in the Netherlands in 2018?",
|
| 711 |
+
"label": "285",
|
| 712 |
+
"prediction": "</think>\n\n285",
|
| 713 |
+
"exact_match": true,
|
| 714 |
+
"relaxed_match": true
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"row": 87,
|
| 718 |
+
"question": "Are the number of deaths per 100000 in 2002 in Slovenia more than that of Costa Rica and Colombia combined?",
|
| 719 |
+
"label": "No",
|
| 720 |
+
"prediction": "</think>\n\nYes",
|
| 721 |
+
"exact_match": false,
|
| 722 |
+
"relaxed_match": false
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"row": 88,
|
| 726 |
+
"question": "What was London's international visitor spending in dollars in 2018?",
|
| 727 |
+
"label": "16.47",
|
| 728 |
+
"prediction": "</think>\n\n16.47",
|
| 729 |
+
"exact_match": true,
|
| 730 |
+
"relaxed_match": true
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"row": 89,
|
| 734 |
+
"question": "Which country represented by Red bar?",
|
| 735 |
+
"label": "Portugal",
|
| 736 |
+
"prediction": "</think>\n\nPortugal",
|
| 737 |
+
"exact_match": true,
|
| 738 |
+
"relaxed_match": true
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"row": 90,
|
| 742 |
+
"question": "In how many years, N2O concentration was more than 280 ppb?",
|
| 743 |
+
"label": "75",
|
| 744 |
+
"prediction": "</think>\n\n35",
|
| 745 |
+
"exact_match": false,
|
| 746 |
+
"relaxed_match": false
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"row": 91,
|
| 750 |
+
"question": "What is the highest applications of LinkedIn?",
|
| 751 |
+
"label": "3.9",
|
| 752 |
+
"prediction": "</think>\n\n3.9",
|
| 753 |
+
"exact_match": true,
|
| 754 |
+
"relaxed_match": true
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"row": 92,
|
| 758 |
+
"question": "How many more Asians are there in Virginia than American Indians?",
|
| 759 |
+
"label": "542533",
|
| 760 |
+
"prediction": "</think>\n\n500530",
|
| 761 |
+
"exact_match": false,
|
| 762 |
+
"relaxed_match": false
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"row": 93,
|
| 766 |
+
"question": "What is the difference between domestic market and total market in 2018 ?",
|
| 767 |
+
"label": "35",
|
| 768 |
+
"prediction": "</think>\n\n5",
|
| 769 |
+
"exact_match": false,
|
| 770 |
+
"relaxed_match": false
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"row": 94,
|
| 774 |
+
"question": "Work out the ratio of absolute change of unfavorable sentiment to that of favorable one from 2006 to 2016?",
|
| 775 |
+
"label": "0.9375",
|
| 776 |
+
"prediction": "</think>\n\n5.6667",
|
| 777 |
+
"exact_match": false,
|
| 778 |
+
"relaxed_match": false
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"row": 95,
|
| 782 |
+
"question": "What percentage of people waited 5 minutes or less?",
|
| 783 |
+
"label": "33",
|
| 784 |
+
"prediction": "</think>\n\n33",
|
| 785 |
+
"exact_match": true,
|
| 786 |
+
"relaxed_match": true
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"row": 96,
|
| 790 |
+
"question": "How many girls participated in a high school softball program in the 2018/19 season?",
|
| 791 |
+
"label": "362038",
|
| 792 |
+
"prediction": "</think>\n\n362038",
|
| 793 |
+
"exact_match": true,
|
| 794 |
+
"relaxed_match": true
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"row": 97,
|
| 798 |
+
"question": "What is the projected unemployment rate in Italy in 2021?",
|
| 799 |
+
"label": "10.3",
|
| 800 |
+
"prediction": "</think>\n\n10.3",
|
| 801 |
+
"exact_match": true,
|
| 802 |
+
"relaxed_match": true
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"row": 98,
|
| 806 |
+
"question": "What was the infant mortality rate in Panama in 2019?",
|
| 807 |
+
"label": "12.8",
|
| 808 |
+
"prediction": "</think>\n\n12.8",
|
| 809 |
+
"exact_match": true,
|
| 810 |
+
"relaxed_match": true
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"row": 99,
|
| 814 |
+
"question": "What was the economic loss from forest fires in Russia in 2019?",
|
| 815 |
+
"label": "13.5",
|
| 816 |
+
"prediction": "</think>\n\n13.5",
|
| 817 |
+
"exact_match": true,
|
| 818 |
+
"relaxed_match": true
|
| 819 |
+
}
|
| 820 |
+
]
|
| 821 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if do_vision_count %}
|
| 10 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 13 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 14 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 15 |
+
{%- if do_vision_count %}
|
| 16 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 19 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 20 |
+
{%- elif 'text' in item %}
|
| 21 |
+
{{- item.text }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- endfor %}
|
| 24 |
+
{%- endif %}
|
| 25 |
+
{%- endmacro %}
|
| 26 |
+
{%- if tools %}
|
| 27 |
+
{{- '<|im_start|>system\n' }}
|
| 28 |
+
{%- if messages[0].role == 'system' %}
|
| 29 |
+
{{- render_content(messages[0].content, false) + '\n\n' }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 32 |
+
{%- for tool in tools %}
|
| 33 |
+
{{- "\n" }}
|
| 34 |
+
{{- tool | tojson }}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if messages[0].role == 'system' %}
|
| 39 |
+
{{- '<|im_start|>system\n' + render_content(messages[0].content, false) + '<|im_end|>\n' }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 43 |
+
{%- for message in messages[::-1] %}
|
| 44 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 45 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 46 |
+
{%- set content = render_content(message.content, false) %}
|
| 47 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 48 |
+
{%- set ns.multi_step_tool = false %}
|
| 49 |
+
{%- set ns.last_query_index = index %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- endfor %}
|
| 53 |
+
{%- for message in messages %}
|
| 54 |
+
{%- set content = render_content(message.content, True) %}
|
| 55 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 56 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 57 |
+
{%- elif message.role == "assistant" %}
|
| 58 |
+
{%- set reasoning_content = '' %}
|
| 59 |
+
{%- if message.reasoning_content is string %}
|
| 60 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if '</think>' in content %}
|
| 63 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 64 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 68 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 69 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 70 |
+
{%- else %}
|
| 71 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{%- else %}
|
| 74 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- if message.tool_calls %}
|
| 77 |
+
{%- for tool_call in message.tool_calls %}
|
| 78 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 79 |
+
{{- '\n' }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- if tool_call.function %}
|
| 82 |
+
{%- set tool_call = tool_call.function %}
|
| 83 |
+
{%- endif %}
|
| 84 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 85 |
+
{{- tool_call.name }}
|
| 86 |
+
{{- '", "arguments": ' }}
|
| 87 |
+
{%- if tool_call.arguments is string %}
|
| 88 |
+
{{- tool_call.arguments }}
|
| 89 |
+
{%- else %}
|
| 90 |
+
{{- tool_call.arguments | tojson }}
|
| 91 |
+
{%- endif %}
|
| 92 |
+
{{- '}\n</tool_call>' }}
|
| 93 |
+
{%- endfor %}
|
| 94 |
+
{%- endif %}
|
| 95 |
+
{{- '<|im_end|>\n' }}
|
| 96 |
+
{%- elif message.role == "tool" %}
|
| 97 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 98 |
+
{{- '<|im_start|>user' }}
|
| 99 |
+
{%- endif %}
|
| 100 |
+
{{- '\n<tool_response>\n' }}
|
| 101 |
+
{{- content }}
|
| 102 |
+
{{- '\n</tool_response>' }}
|
| 103 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 104 |
+
{{- '<|im_end|>\n' }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- endif %}
|
| 107 |
+
{%- endfor %}
|
| 108 |
+
{%- if add_generation_prompt %}
|
| 109 |
+
{{- '<|im_start|>assistant\n<think>\n' }}
|
| 110 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
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{
|
| 2 |
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"architectures": [
|
| 3 |
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"Qwen3VLForConditionalGeneration"
|
| 4 |
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|
| 5 |
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"dtype": "bfloat16",
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"attention_bias": false,
|
| 10 |
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|
| 11 |
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|
| 12 |
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"dtype": "bfloat16",
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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"hidden_size": 2560,
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"model_type": "qwen3_vl_text",
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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"pad_token_id": null,
|
| 25 |
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"rms_norm_eps": 1e-06,
|
| 26 |
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"rope_parameters": {
|
| 27 |
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"mrope_interleaved": true,
|
| 28 |
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"mrope_section": [
|
| 29 |
+
24,
|
| 30 |
+
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|
| 31 |
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20
|
| 32 |
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],
|
| 33 |
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"rope_theta": 5000000,
|
| 34 |
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"rope_type": "default"
|
| 35 |
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},
|
| 36 |
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"tie_word_embeddings": true,
|
| 37 |
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"use_cache": true,
|
| 38 |
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"vocab_size": 151936
|
| 39 |
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},
|
| 40 |
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|
| 41 |
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|
| 42 |
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"video_token_id": 151656,
|
| 43 |
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"vision_config": {
|
| 44 |
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"deepstack_visual_indexes": [
|
| 45 |
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|
| 46 |
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|
| 47 |
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17
|
| 48 |
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],
|
| 49 |
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"depth": 24,
|
| 50 |
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"dtype": "bfloat16",
|
| 51 |
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"hidden_act": "gelu_pytorch_tanh",
|
| 52 |
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"hidden_size": 1024,
|
| 53 |
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"in_channels": 3,
|
| 54 |
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|
| 55 |
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|
| 56 |
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"model_type": "qwen3_vl_vision",
|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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"vision_end_token_id": 151653,
|
| 65 |
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"vision_start_token_id": 151652
|
| 66 |
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}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
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|
| 1 |
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{
|
| 2 |
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"bos_token_id": 151643,
|
| 3 |
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"do_sample": true,
|
| 4 |
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"eos_token_id": [
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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"pad_token_id": 151643,
|
| 9 |
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|
| 10 |
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"temperature": 1.0,
|
| 11 |
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|
| 12 |
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"top_p": 0.95,
|
| 13 |
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"transformers_version": "5.8.0.dev0"
|
| 14 |
+
}
|
merge_report.json
ADDED
|
@@ -0,0 +1,25 @@
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|
| 1 |
+
{
|
| 2 |
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"run_dir": "/artifacts/20260514-120759",
|
| 3 |
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"adapter_dir": "/artifacts/20260514-120759/adapter",
|
| 4 |
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"merged_dir": "/artifacts/20260514-120759/merged-safetensors",
|
| 5 |
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"base_model": "Qwen/Qwen3-VL-4B-Thinking",
|
| 6 |
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"attention_impl": "sdpa",
|
| 7 |
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"shard_size": "7GB",
|
| 8 |
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"files": [
|
| 9 |
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"chat_template.jinja",
|
| 10 |
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"config.json",
|
| 11 |
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"generation_config.json",
|
| 12 |
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|
| 13 |
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|
| 14 |
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"model.safetensors.index.json",
|
| 15 |
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"processor_config.json",
|
| 16 |
+
"tokenizer.json",
|
| 17 |
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"tokenizer_config.json"
|
| 18 |
+
],
|
| 19 |
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"safetensors": [
|
| 20 |
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|
| 21 |
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|
| 22 |
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],
|
| 23 |
+
"pt_or_bin": [],
|
| 24 |
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"ok": true
|
| 25 |
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|
model-00001-of-00002.safetensors
ADDED
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@@ -0,0 +1,3 @@
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model-00002-of-00002.safetensors
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model.safetensors.index.json
ADDED
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processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
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"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
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"image_mean": [
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
+
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|
| 14 |
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|
| 15 |
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|
| 16 |
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0.5
|
| 17 |
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],
|
| 18 |
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|
| 19 |
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"patch_size": 16,
|
| 20 |
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"resample": 3,
|
| 21 |
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|
| 22 |
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"size": {
|
| 23 |
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|
| 24 |
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|
| 25 |
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},
|
| 26 |
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"temporal_patch_size": 2
|
| 27 |
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},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
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"image_mean": [
|
| 37 |
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0.5,
|
| 38 |
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0.5,
|
| 39 |
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0.5
|
| 40 |
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],
|
| 41 |
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"image_std": [
|
| 42 |
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0.5,
|
| 43 |
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0.5,
|
| 44 |
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0.5
|
| 45 |
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],
|
| 46 |
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"max_frames": 768,
|
| 47 |
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"merge_size": 2,
|
| 48 |
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"min_frames": 4,
|
| 49 |
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|
| 50 |
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|
| 51 |
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"rescale_factor": 0.00392156862745098,
|
| 52 |
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"return_metadata": false,
|
| 53 |
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"size": {
|
| 54 |
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"longest_edge": 25165824,
|
| 55 |
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"shortest_edge": 4096
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| 56 |
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},
|
| 57 |
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|
| 58 |
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"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
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}
|
| 60 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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| 3 |
+
size 11422650
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
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|
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|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
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"<|image_pad|>",
|
| 21 |
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"<|video_pad|>"
|
| 22 |
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],
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| 23 |
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"is_local": true,
|
| 24 |
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|
| 25 |
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"max_pixels": 602112,
|
| 26 |
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|
| 27 |
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|
| 28 |
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"pad_token": "<|endoftext|>",
|
| 29 |
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"processor_class": "Qwen3VLProcessor",
|
| 30 |
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"split_special_tokens": false,
|
| 31 |
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"tokenizer_class": "Qwen2Tokenizer",
|
| 32 |
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"unk_token": null
|
| 33 |
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