TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill
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Model: TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill
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---
base_model: unsloth/Qwen3-4B-Thinking-2507
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
license: apache-2.0
language:
- en
datasets:
- TeichAI/gemini-2.5-flash-11000x
pipeline_tag: text-generation
---
# Qwen3 4B Thinking 2507 x Gemini 2.5 Flash
This model was trained on about ~54.4 million tokens generated by Gemini 2.5 Flash.
The goal of was to distill the behavior, reasoning traces, output style, and (most importantly) knowledge of Gemini-2.5 Flash.
Categories covered in the dataset:
| Domain | Prompts |
| ------- | ---------|
| Academia | 645 |
| Finance | 1048 |
| Health | 1720 |
| Legal | 1193 |
| Marketing | 1350 |
| Programming | 1930 |
| SEO | 775 |
| Science | 1435 |
| Targeted* | 991 |
---
# Benchmark Results Report
**Date:** 2025-11-27 00:31:38
## Configuration
- **Quantization:** 4bit
- **Temperature:** 0.6
- **Top P:** 0.95
- **Top K:** 20
- **Repetition Penalty:** 1.1
## Results
![alt="Results Bar Chart"](results_bar_chart.png)
| Model | Benchmark | Score | Total Questions | Total Correct |
|:--------------------------------------------------------|:----------------------|---------:|------------------:|----------------:|
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | arc_challenge | 0.511945 | 1172 | 600 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | gpqa_diamond_zeroshot | 0.353535 | 198 | 70 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | hellaswag | 0.504382 | 10042 | 5065 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | mmlu | 0.661587 | 14042 | 9290 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | truthfulqa_mc2 | 0.552899 | 817 | 451 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | winogrande | 0.65588 | 1267 | 831 |
| unsloth/Qwen3-4B-Thinking-2507 | arc_challenge | 0.486348 | 1172 | 570 |
| unsloth/Qwen3-4B-Thinking-2507 | gpqa_diamond_zeroshot | 0.30303 | 198 | 60 |
| unsloth/Qwen3-4B-Thinking-2507 | hellaswag | 0.479785 | 10042 | 4818 |
| unsloth/Qwen3-4B-Thinking-2507 | mmlu | 0.65532 | 14042 | 9202 |
| unsloth/Qwen3-4B-Thinking-2507 | truthfulqa_mc2 | 0.555747 | 817 | 454 |
| unsloth/Qwen3-4B-Thinking-2507 | winogrande | 0.64562 | 1267 | 818 |
## Model Comparison vs Base
- Base model: unsloth/Qwen3-4B-Thinking-2507
| Compare Model | Benchmark | Base Score | Model Score | Delta | Delta % |
|:--------------------------------------------------------|:----------------------|-------------:|--------------:|------------:|------------:|
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | arc_challenge | 0.486348 | 0.511945 | 0.0255973 | 0.0526316 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | gpqa_diamond_zeroshot | 0.30303 | 0.353535 | 0.0505051 | 0.166667 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | hellaswag | 0.479785 | 0.504382 | 0.0245967 | 0.0512661 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | mmlu | 0.65532 | 0.661587 | 0.00626691 | 0.00956314 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | truthfulqa_mc2 | 0.555747 | 0.552899 | -0.00284708 | -0.00512299 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | winogrande | 0.64562 | 0.65588 | 0.0102605 | 0.0158924 |
### Aggregate Comparison
| Compare Model | Benchmarks Compared | Wins vs Base | Ties vs Base | Losses vs Base | Avg Delta |
|:--------------------------------------------------------|----------------------:|---------------:|---------------:|-----------------:|------------:|
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | 6 | 5 | 0 | 1 | 0.0190632 |
## MMLU Subject Breakdown
![alt="MMLU Subject Breakdown"](mmlu_subject_breakdown.png)
| Model | Subject | Benchmark | Score | Total Questions | Total Correct |
|:--------------------------------------------------------|:------------------------------------|:-----------------------------------------|---------:|------------------:|----------------:|
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | formal_logic | mmlu_formal_logic | 0.603175 | 126 | 76 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_european_history | mmlu_high_school_european_history | 0.727273 | 165 | 120 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_us_history | mmlu_high_school_us_history | 0.833333 | 204 | 170 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_world_history | mmlu_high_school_world_history | 0.801688 | 237 | 190 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | international_law | mmlu_international_law | 0.752066 | 121 | 91 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | jurisprudence | mmlu_jurisprudence | 0.777778 | 108 | 84 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | logical_fallacies | mmlu_logical_fallacies | 0.797546 | 163 | 130 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | moral_disputes | mmlu_moral_disputes | 0.67341 | 346 | 233 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | moral_scenarios | mmlu_moral_scenarios | 0.340782 | 895 | 305 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | philosophy | mmlu_philosophy | 0.694534 | 311 | 216 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | prehistory | mmlu_prehistory | 0.719136 | 324 | 233 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | professional_law | mmlu_professional_law | 0.45176 | 1534 | 693 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | world_religions | mmlu_world_religions | 0.754386 | 171 | 129 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | business_ethics | mmlu_business_ethics | 0.71 | 100 | 71 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | clinical_knowledge | mmlu_clinical_knowledge | 0.70566 | 265 | 187 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | college_medicine | mmlu_college_medicine | 0.693642 | 173 | 120 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | global_facts | mmlu_global_facts | 0.44 | 100 | 44 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | human_aging | mmlu_human_aging | 0.695067 | 223 | 155 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | management | mmlu_management | 0.854369 | 103 | 88 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | marketing | mmlu_marketing | 0.846154 | 234 | 198 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | medical_genetics | mmlu_medical_genetics | 0.77 | 100 | 77 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | miscellaneous | mmlu_miscellaneous | 0.779055 | 783 | 610 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | nutrition | mmlu_nutrition | 0.718954 | 306 | 220 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | professional_accounting | mmlu_professional_accounting | 0.528369 | 282 | 149 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | professional_medicine | mmlu_professional_medicine | 0.672794 | 272 | 183 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | virology | mmlu_virology | 0.524096 | 166 | 87 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | econometrics | mmlu_econometrics | 0.605263 | 114 | 69 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_geography | mmlu_high_school_geography | 0.823232 | 198 | 163 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_government_and_politics | mmlu_high_school_government_and_politics | 0.865285 | 193 | 167 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_macroeconomics | mmlu_high_school_macroeconomics | 0.720513 | 390 | 281 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_microeconomics | mmlu_high_school_microeconomics | 0.802521 | 238 | 191 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_psychology | mmlu_high_school_psychology | 0.86789 | 545 | 473 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | human_sexuality | mmlu_human_sexuality | 0.717557 | 131 | 94 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | professional_psychology | mmlu_professional_psychology | 0.658497 | 612 | 403 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | public_relations | mmlu_public_relations | 0.690909 | 110 | 76 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | security_studies | mmlu_security_studies | 0.726531 | 245 | 178 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | sociology | mmlu_sociology | 0.80597 | 201 | 162 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | us_foreign_policy | mmlu_us_foreign_policy | 0.82 | 100 | 82 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | abstract_algebra | mmlu_abstract_algebra | 0.57 | 100 | 56 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | anatomy | mmlu_anatomy | 0.6 | 135 | 81 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | astronomy | mmlu_astronomy | 0.809211 | 152 | 123 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | college_biology | mmlu_college_biology | 0.8125 | 144 | 117 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | college_chemistry | mmlu_college_chemistry | 0.51 | 100 | 51 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | college_computer_science | mmlu_college_computer_science | 0.57 | 100 | 56 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | college_mathematics | mmlu_college_mathematics | 0.53 | 100 | 53 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | college_physics | mmlu_college_physics | 0.509804 | 102 | 52 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | computer_security | mmlu_computer_security | 0.78 | 100 | 78 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | conceptual_physics | mmlu_conceptual_physics | 0.753191 | 235 | 177 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | electrical_engineering | mmlu_electrical_engineering | 0.724138 | 145 | 105 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | elementary_mathematics | mmlu_elementary_mathematics | 0.642857 | 378 | 243 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_biology | mmlu_high_school_biology | 0.835484 | 310 | 259 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_chemistry | mmlu_high_school_chemistry | 0.669951 | 203 | 136 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_computer_science | mmlu_high_school_computer_science | 0.82 | 100 | 82 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_mathematics | mmlu_high_school_mathematics | 0.477778 | 270 | 129 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_physics | mmlu_high_school_physics | 0.589404 | 151 | 89 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | high_school_statistics | mmlu_high_school_statistics | 0.703704 | 216 | 152 |
| TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill | machine_learning | mmlu_machine_learning | 0.455357 | 112 | 51 |
| unsloth/Qwen3-4B-Thinking-2507 | formal_logic | mmlu_formal_logic | 0.595238 | 126 | 75 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_european_history | mmlu_high_school_european_history | 0.727273 | 165 | 120 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_us_history | mmlu_high_school_us_history | 0.818627 | 204 | 167 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_world_history | mmlu_high_school_world_history | 0.797468 | 237 | 189 |
| unsloth/Qwen3-4B-Thinking-2507 | international_law | mmlu_international_law | 0.727273 | 121 | 88 |
| unsloth/Qwen3-4B-Thinking-2507 | jurisprudence | mmlu_jurisprudence | 0.777778 | 108 | 84 |
| unsloth/Qwen3-4B-Thinking-2507 | logical_fallacies | mmlu_logical_fallacies | 0.754601 | 163 | 123 |
| unsloth/Qwen3-4B-Thinking-2507 | moral_disputes | mmlu_moral_disputes | 0.67341 | 346 | 233 |
| unsloth/Qwen3-4B-Thinking-2507 | moral_scenarios | mmlu_moral_scenarios | 0.372067 | 895 | 333 |
| unsloth/Qwen3-4B-Thinking-2507 | philosophy | mmlu_philosophy | 0.672026 | 311 | 208 |
| unsloth/Qwen3-4B-Thinking-2507 | prehistory | mmlu_prehistory | 0.70679 | 324 | 229 |
| unsloth/Qwen3-4B-Thinking-2507 | professional_law | mmlu_professional_law | 0.441982 | 1534 | 678 |
| unsloth/Qwen3-4B-Thinking-2507 | world_religions | mmlu_world_religions | 0.777778 | 171 | 133 |
| unsloth/Qwen3-4B-Thinking-2507 | business_ethics | mmlu_business_ethics | 0.63 | 100 | 63 |
| unsloth/Qwen3-4B-Thinking-2507 | clinical_knowledge | mmlu_clinical_knowledge | 0.716981 | 265 | 190 |
| unsloth/Qwen3-4B-Thinking-2507 | college_medicine | mmlu_college_medicine | 0.693642 | 173 | 120 |
| unsloth/Qwen3-4B-Thinking-2507 | global_facts | mmlu_global_facts | 0.36 | 100 | 36 |
| unsloth/Qwen3-4B-Thinking-2507 | human_aging | mmlu_human_aging | 0.713004 | 223 | 159 |
| unsloth/Qwen3-4B-Thinking-2507 | management | mmlu_management | 0.864078 | 103 | 89 |
| unsloth/Qwen3-4B-Thinking-2507 | marketing | mmlu_marketing | 0.854701 | 234 | 200 |
| unsloth/Qwen3-4B-Thinking-2507 | medical_genetics | mmlu_medical_genetics | 0.8 | 100 | 80 |
| unsloth/Qwen3-4B-Thinking-2507 | miscellaneous | mmlu_miscellaneous | 0.776501 | 783 | 608 |
| unsloth/Qwen3-4B-Thinking-2507 | nutrition | mmlu_nutrition | 0.712418 | 306 | 218 |
| unsloth/Qwen3-4B-Thinking-2507 | professional_accounting | mmlu_professional_accounting | 0.549645 | 282 | 155 |
| unsloth/Qwen3-4B-Thinking-2507 | professional_medicine | mmlu_professional_medicine | 0.669118 | 272 | 182 |
| unsloth/Qwen3-4B-Thinking-2507 | virology | mmlu_virology | 0.518072 | 166 | 86 |
| unsloth/Qwen3-4B-Thinking-2507 | econometrics | mmlu_econometrics | 0.614035 | 114 | 70 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_geography | mmlu_high_school_geography | 0.777778 | 198 | 154 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_government_and_politics | mmlu_high_school_government_and_politics | 0.829016 | 193 | 160 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_macroeconomics | mmlu_high_school_macroeconomics | 0.720513 | 390 | 281 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_microeconomics | mmlu_high_school_microeconomics | 0.802521 | 238 | 191 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_psychology | mmlu_high_school_psychology | 0.851376 | 545 | 464 |
| unsloth/Qwen3-4B-Thinking-2507 | human_sexuality | mmlu_human_sexuality | 0.740458 | 131 | 97 |
| unsloth/Qwen3-4B-Thinking-2507 | professional_psychology | mmlu_professional_psychology | 0.669935 | 612 | 409 |
| unsloth/Qwen3-4B-Thinking-2507 | public_relations | mmlu_public_relations | 0.672727 | 110 | 74 |
| unsloth/Qwen3-4B-Thinking-2507 | security_studies | mmlu_security_studies | 0.706122 | 245 | 173 |
| unsloth/Qwen3-4B-Thinking-2507 | sociology | mmlu_sociology | 0.800995 | 201 | 161 |
| unsloth/Qwen3-4B-Thinking-2507 | us_foreign_policy | mmlu_us_foreign_policy | 0.82 | 100 | 82 |
| unsloth/Qwen3-4B-Thinking-2507 | abstract_algebra | mmlu_abstract_algebra | 0.55 | 100 | 55 |
| unsloth/Qwen3-4B-Thinking-2507 | anatomy | mmlu_anatomy | 0.644444 | 135 | 87 |
| unsloth/Qwen3-4B-Thinking-2507 | astronomy | mmlu_astronomy | 0.782895 | 152 | 119 |
| unsloth/Qwen3-4B-Thinking-2507 | college_biology | mmlu_college_biology | 0.763889 | 144 | 110 |
| unsloth/Qwen3-4B-Thinking-2507 | college_chemistry | mmlu_college_chemistry | 0.55 | 100 | 55 |
| unsloth/Qwen3-4B-Thinking-2507 | college_computer_science | mmlu_college_computer_science | 0.62 | 100 | 62 |
| unsloth/Qwen3-4B-Thinking-2507 | college_mathematics | mmlu_college_mathematics | 0.44 | 100 | 44 |
| unsloth/Qwen3-4B-Thinking-2507 | college_physics | mmlu_college_physics | 0.480392 | 102 | 49 |
| unsloth/Qwen3-4B-Thinking-2507 | computer_security | mmlu_computer_security | 0.73 | 100 | 73 |
| unsloth/Qwen3-4B-Thinking-2507 | conceptual_physics | mmlu_conceptual_physics | 0.723404 | 235 | 170 |
| unsloth/Qwen3-4B-Thinking-2507 | electrical_engineering | mmlu_electrical_engineering | 0.751724 | 145 | 108 |
| unsloth/Qwen3-4B-Thinking-2507 | elementary_mathematics | mmlu_elementary_mathematics | 0.645503 | 378 | 244 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_biology | mmlu_high_school_biology | 0.812903 | 310 | 252 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_chemistry | mmlu_high_school_chemistry | 0.660099 | 203 | 134 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_computer_science | mmlu_high_school_computer_science | 0.81 | 100 | 81 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_mathematics | mmlu_high_school_mathematics | 0.440741 | 270 | 119 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_physics | mmlu_high_school_physics | 0.569536 | 151 | 86 |
| unsloth/Qwen3-4B-Thinking-2507 | high_school_statistics | mmlu_high_school_statistics | 0.652778 | 216 | 141 |
| unsloth/Qwen3-4B-Thinking-2507 | machine_learning | mmlu_machine_learning | 0.428571 | 112 | 48 |
---
- **Developed by:** TeichAI
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen3-4b-thinking-2507-unsloth-bnb-4bit
This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

28
added_tokens.json Normal file
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{
"</think>": 151668,
"</tool_call>": 151658,
"</tool_response>": 151666,
"<think>": 151667,
"<tool_call>": 151657,
"<tool_response>": 151665,
"<|box_end|>": 151649,
"<|box_start|>": 151648,
"<|endoftext|>": 151643,
"<|file_sep|>": 151664,
"<|fim_middle|>": 151660,
"<|fim_pad|>": 151662,
"<|fim_prefix|>": 151659,
"<|fim_suffix|>": 151661,
"<|im_end|>": 151645,
"<|im_start|>": 151644,
"<|image_pad|>": 151655,
"<|object_ref_end|>": 151647,
"<|object_ref_start|>": 151646,
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"<|repo_name|>": 151663,
"<|video_pad|>": 151656,
"<|vision_end|>": 151653,
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"<|vision_start|>": 151652
}

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n\n' }}
{%- endif %}
{{- "# 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>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\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" }}
{%- else %}
{%- if messages[0].role == 'system' %}
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message.content is string %}
{%- set content = message.content %}
{%- else %}
{%- set content = '' %}
{%- endif %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and reasoning_content) %}
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) or (not loop.first) %}
{{- '\n' }}
{%- endif %}
{%- if tool_call.function %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{%- if tool_call.arguments is string %}
{{- tool_call.arguments }}
{%- else %}
{{- tool_call.arguments | tojson }}
{%- endif %}
{{- '}\n</tool_call>' }}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant
<think>
' }}
{%- endif %}

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"attention_bias": false,
"attention_dropout": 0.0,
"torch_dtype": "bfloat16",
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"head_dim": 128,
"hidden_act": "silu",
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"initializer_range": 0.02,
"intermediate_size": 9728,
"layer_types": [
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"max_position_embeddings": 262144,
"max_window_layers": 36,
"model_type": "qwen3",
"num_attention_heads": 32,
"num_hidden_layers": 36,
"num_key_value_heads": 8,
"pad_token_id": 151654,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 5000000,
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "4.57.1",
"unsloth_fixed": true,
"unsloth_version": "2025.11.2",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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{
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"eos_token": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|vision_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

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{
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151644": {
"content": "<|im_start|>",
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"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151645": {
"content": "<|im_end|>",
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"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151646": {
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},
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"rstrip": false,
"single_word": false,
"special": true
},
"151648": {
"content": "<|box_start|>",
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"normalized": false,
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"single_word": false,
"special": true
},
"151649": {
"content": "<|box_end|>",
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"rstrip": false,
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},
"151650": {
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},
"151651": {
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},
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},
"151653": {
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"single_word": false,
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},
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},
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},
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},
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},
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"special": false
},
"151659": {
"content": "<|fim_prefix|>",
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"rstrip": false,
"single_word": false,
"special": false
},
"151660": {
"content": "<|fim_middle|>",
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"special": false
},
"151661": {
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"special": false
},
"151662": {
"content": "<|fim_pad|>",
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"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151663": {
"content": "<|repo_name|>",
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"rstrip": false,
"single_word": false,
"special": false
},
"151664": {
"content": "<|file_sep|>",
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"special": false
},
"151665": {
"content": "<tool_response>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": false
},
"151666": {
"content": "</tool_response>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151667": {
"content": "<think>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151668": {
"content": "</think>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
}
},
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
"model_max_length": 262144,
"pad_token": "<|vision_pad|>",
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null,
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n<think>\n' }}\n{%- endif %}"
}

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