Initial release: Darwin-28B-KR-Legal - 비드래프트 한국 법률 특화 28B (LBox + KBL bar_exam SFT)
Browse files- .gitattributes +1 -0
- README.md +195 -0
- chat_template.jinja +94 -0
- config.json +145 -0
- generation_config.json +13 -0
- model-00001-of-00012.safetensors +3 -0
- model-00002-of-00012.safetensors +3 -0
- model-00003-of-00012.safetensors +3 -0
- model-00004-of-00012.safetensors +3 -0
- model-00005-of-00012.safetensors +3 -0
- model-00006-of-00012.safetensors +3 -0
- model-00007-of-00012.safetensors +3 -0
- model-00008-of-00012.safetensors +3 -0
- model-00009-of-00012.safetensors +3 -0
- model-00010-of-00012.safetensors +3 -0
- model-00011-of-00012.safetensors +3 -0
- model-00012-of-00012.safetensors +3 -0
- model-visual-extra.safetensors +3 -0
- model.safetensors.index.json +0 -0
- processor_config.json +60 -0
- tokenizer.json +3 -0
- tokenizer_config.json +34 -0
.gitattributes
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
language:
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| 4 |
+
- ko
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| 5 |
+
- en
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| 6 |
+
base_model:
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| 7 |
+
- FINAL-Bench/Darwin-28B-KR
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| 8 |
+
pipeline_tag: text-generation
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| 9 |
+
tags:
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| 10 |
+
- darwin
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| 11 |
+
- korean
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| 12 |
+
- legal
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| 13 |
+
- law
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| 14 |
+
- multimodal
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| 15 |
+
- qwen3.5
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| 16 |
+
- vidraft
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| 17 |
+
library_name: transformers
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| 18 |
+
---
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| 19 |
+
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| 20 |
+
# Darwin-28B-KR-Legal
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| 21 |
+
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| 22 |
+
> **비드래프트(VIDRAFT) 한국 법률 특화 28B 멀티모달 언어 모델**
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| 23 |
+
> Darwin family 한국어 도메인 변종 — 법률 분야
|
| 24 |
+
|
| 25 |
+
---
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| 26 |
+
|
| 27 |
+
## 🎯 모델 소개
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| 28 |
+
|
| 29 |
+
**Darwin-28B-KR-Legal**은 비드래프트(VIDRAFT)가 개발한 한국 법률 분야에 특화된 28B 파라미터 멀티모달 언어 모델입니다.
|
| 30 |
+
|
| 31 |
+
베이스 모델인 Darwin-28B-KR(Apache 2.0)을 기반으로 한국 법률 도메인의 판례·법조항·변호사 시험 등을 학습하여, 한국 법률 분야의 추론·자문·해석 능력을 강화한 모델입니다.
|
| 32 |
+
|
| 33 |
+
---
|
| 34 |
+
|
| 35 |
+
## 🧬 계보 (Lineage)
|
| 36 |
+
|
| 37 |
+
```
|
| 38 |
+
Qwen3.5-27B (Alibaba Qwen team)
|
| 39 |
+
|
|
| 40 |
+
v
|
| 41 |
+
Darwin-27B-Opus (FINAL-Bench)
|
| 42 |
+
| Darwin V7 진화 머지
|
| 43 |
+
+---+----------------------+
|
| 44 |
+
v v
|
| 45 |
+
Darwin-28B-Opus Darwin-27B-KR
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| 46 |
+
(영어/추론) (한국어 특화 챔피언)
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| 47 |
+
| |
|
| 48 |
+
+--------+-----------------+
|
| 49 |
+
| Darwin V7 MRI-aware merge
|
| 50 |
+
v
|
| 51 |
+
Darwin-28B-KR (V2 SMART, 비드래프트 정체성 학습)
|
| 52 |
+
|
|
| 53 |
+
| 한국 법률 도메인 SFT (LBox 판례 + 변호사 시험)
|
| 54 |
+
v
|
| 55 |
+
Darwin-28B-KR-Legal <- this model
|
| 56 |
+
```
|
| 57 |
+
|
| 58 |
+
---
|
| 59 |
+
|
| 60 |
+
## ⚙️ 능력 매트릭스
|
| 61 |
+
|
| 62 |
+
| 능력 | 강도 |
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| 63 |
+
|---|---|
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| 64 |
+
| 한국어 이해/생성 | ⭐⭐⭐⭐⭐ |
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| 65 |
+
| **한국 법률 지식** | ⭐⭐⭐⭐⭐ |
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| 66 |
+
| **변호사 시험 풀이** | ⭐⭐⭐⭐⭐ |
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| 67 |
+
| **판례 분석/요약** | ⭐⭐⭐⭐⭐ |
|
| 68 |
+
| **법조항 인용·해석** | ⭐⭐⭐⭐⭐ |
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| 69 |
+
| 한국 법률 자문 | ⭐⭐⭐⭐⭐ |
|
| 70 |
+
| 영어 추론 | ⭐⭐⭐⭐ |
|
| 71 |
+
| 멀티모달 (이미지/비디오) | ⭐⭐⭐⭐ |
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| 72 |
+
|
| 73 |
+
---
|
| 74 |
+
|
| 75 |
+
## 📚 학습 데이터 (개념)
|
| 76 |
+
|
| 77 |
+
본 모델은 다음과 같은 한국 법률 도메인 데이터로 학습되었습니다:
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| 78 |
+
|
| 79 |
+
- **한국 법원 판례 코퍼스** (수만 건 수준)
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| 80 |
+
- **법률 분야 분류·요약·판단 예측** Q&A
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| 81 |
+
- **한국 변호사 시험** 14년치(민사·형사·공법·윤리)
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| 82 |
+
- **모델 정체성 데이터** (Darwin-28B-KR-Legal 자기 식별)
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| 83 |
+
|
| 84 |
+
ChatML 형식의 도메인 SFT 학습.
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| 85 |
+
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| 86 |
+
---
|
| 87 |
+
|
| 88 |
+
## 🏛️ 다루는 법률 분야
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| 89 |
+
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| 90 |
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- **민사법** — 계약·불법행위·물권·채권·가족·상속
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| 91 |
+
- **형사법** — 형법 총론·각론·형사소송법
|
| 92 |
+
- **공법** — 헌법·행정법
|
| 93 |
+
- **상법** — 회사법·어음·수표
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| 94 |
+
- **노동법** — 근로기준법·노동조합법
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| 95 |
+
- **부동산법** — 등기·임대차·재개발
|
| 96 |
+
- **지적재산권법** — 특허·저작권·상표
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| 97 |
+
- **법조윤리** — 변호사법·법조윤리
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| 98 |
+
|
| 99 |
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---
|
| 100 |
+
|
| 101 |
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## 📊 사양
|
| 102 |
+
|
| 103 |
+
| 항목 | 값 |
|
| 104 |
+
|---|---|
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| 105 |
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| Architecture | Qwen3_5ForConditionalGeneration (hybrid full + linear attention) |
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| 106 |
+
| Parameters | ~28B |
|
| 107 |
+
| Hidden size | 5120 |
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| 108 |
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| Layers | 64 |
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| 109 |
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| Vocab size | 248,320 |
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| 110 |
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| Format | bfloat16 (~53 GB on disk) |
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| 111 |
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| Context | 8K~32K (배포 환경 따라) |
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| 112 |
+
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| 113 |
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---
|
| 114 |
+
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| 115 |
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## 🚀 사용법
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| 116 |
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|
| 117 |
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### vLLM (권장)
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| 118 |
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|
| 119 |
+
```bash
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| 120 |
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vllm serve FINAL-Bench/Darwin-28B-KR-Legal \
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| 121 |
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--trust-remote-code \
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| 122 |
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--port 8000 \
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| 123 |
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--enforce-eager \
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| 124 |
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--max-model-len 8192 \
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| 125 |
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--gpu-memory-utilization 0.85
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| 126 |
+
```
|
| 127 |
+
|
| 128 |
+
### OpenAI 호환 클라이언트
|
| 129 |
+
|
| 130 |
+
```python
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| 131 |
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from openai import OpenAI
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| 132 |
+
|
| 133 |
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client = OpenAI(base_url="http://localhost:8000/v1", api_key="EMPTY")
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| 134 |
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response = client.chat.completions.create(
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| 135 |
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model="FINAL-Bench/Darwin-28B-KR-Legal",
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| 136 |
+
messages=[
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| 137 |
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{"role": "user", "content": "전세보증금 반환 청구 소송에서 임차인이 승소하기 위해 입증해야 하는 핵심 요건을 설명해주세요."}
|
| 138 |
+
],
|
| 139 |
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max_tokens=2048,
|
| 140 |
+
temperature=0.0,
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| 141 |
+
)
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| 142 |
+
print(response.choices[0].message.content)
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| 143 |
+
```
|
| 144 |
+
|
| 145 |
+
---
|
| 146 |
+
|
| 147 |
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## 🖥️ 하드웨어 요구사항
|
| 148 |
+
|
| 149 |
+
| GPU 시리즈 | 상태 |
|
| 150 |
+
|---|---|
|
| 151 |
+
| NVIDIA Blackwell (B200) | ✅ Best |
|
| 152 |
+
| NVIDIA Hopper (H100/H200) | ✅ 권장 |
|
| 153 |
+
| NVIDIA Ada (L40S) | ⚠️ 빠듯함 (53GB BF16) |
|
| 154 |
+
| Older Ampere | ❌ VRAM 부족 |
|
| 155 |
+
|
| 156 |
+
**최소 VRAM**: ~55 GB (BF16 추론용)
|
| 157 |
+
|
| 158 |
+
---
|
| 159 |
+
|
| 160 |
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## 💬 자기소개 예시
|
| 161 |
+
|
| 162 |
+
```
|
| 163 |
+
User: 당신은 누구인가요?
|
| 164 |
+
Darwin-28B-KR-Legal: 저는 비드래프트가 개발한 Darwin-28B-KR-Legal입니다.
|
| 165 |
+
한국 법률 분야에 특화된 28B 멀티모달 언어 모델로,
|
| 166 |
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판례 분석·법조항 해석·변호사 시험 풀이 등을 지원합니다.
|
| 167 |
+
```
|
| 168 |
+
|
| 169 |
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---
|
| 170 |
+
|
| 171 |
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## 🌳 활용 사례
|
| 172 |
+
|
| 173 |
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- **법률 검색·요약**: 판례 분석, 법조항 인용
|
| 174 |
+
- **사례 분석**: 사실관계 → 적용 법조항·예상 판단
|
| 175 |
+
- **변호사 시험 학습**: 14년치 객관식 문제 학습 기반
|
| 176 |
+
- **법률 문서 작성 보조**: 계약서·소장·답변서 초안
|
| 177 |
+
- **법률 교육**: 법학과 학생 학습 보조
|
| 178 |
+
- **법조 실무 지원**: 사건 검토·예상 판결 시뮬레이션
|
| 179 |
+
|
| 180 |
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⚠️ **면책**: 본 모델��� 답변은 참고용이며 실제 법률 자문을 대체하지 않습니다. 중요한 법적 판단은 반드시 변호사 등 전문가와 상담하세요.
|
| 181 |
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| 182 |
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---
|
| 183 |
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| 184 |
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## 🙏 Credits
|
| 185 |
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|
| 186 |
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- Architecture: Qwen3.5 (Alibaba Qwen team)
|
| 187 |
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- Base model: [FINAL-Bench/Darwin-28B-KR](https://huggingface.co/FINAL-Bench/Darwin-28B-KR) (Apache 2.0)
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| 188 |
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- Legal data sources: [LBox Open](https://huggingface.co/datasets/lbox/lbox_open) / [KBL](https://huggingface.co/datasets/lbox/kbl)
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| 189 |
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- Fine-tuning: 비드래프트(VIDRAFT)
|
| 190 |
+
|
| 191 |
+
---
|
| 192 |
+
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| 193 |
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## 📜 License
|
| 194 |
+
|
| 195 |
+
Apache 2.0 (베이스 모델로부터 상속)
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chat_template.jinja
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if not messages or messages[0].role != "system" %}
|
| 2 |
+
{{- "<|im_start|>system\n당신은 비드래프트가 개발한 Darwin-28B-KR-Legal입니다. 한국 법률 분야에 특화된 28B 멀티모달 언어 모델입니다.<|im_end|>\n" -}}
|
| 3 |
+
{%- endif %}
|
| 4 |
+
{%- if not messages or messages[0].role != "system" %}
|
| 5 |
+
{{- "<|im_start|>system\n당신은 비드래프트가 개발한 Darwin-28B-KR입니다.<|im_end|>\n" -}}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if tools %}
|
| 8 |
+
{{- '<|im_start|>system\n' }}
|
| 9 |
+
{%- if messages[0].role == 'system' %}
|
| 10 |
+
{{- messages[0].content + '\n\n' }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{{- "# 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>" }}
|
| 13 |
+
{%- for tool in tools %}
|
| 14 |
+
{{- "\n" }}
|
| 15 |
+
{{- tool | tojson }}
|
| 16 |
+
{%- endfor %}
|
| 17 |
+
{{- "\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" }}
|
| 18 |
+
{%- else %}
|
| 19 |
+
{%- if messages[0].role == 'system' %}
|
| 20 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 24 |
+
{%- for message in messages[::-1] %}
|
| 25 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 26 |
+
{%- 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>')) %}
|
| 27 |
+
{%- set ns.multi_step_tool = false %}
|
| 28 |
+
{%- set ns.last_query_index = index %}
|
| 29 |
+
{%- endif %}
|
| 30 |
+
{%- endfor %}
|
| 31 |
+
{%- for message in messages %}
|
| 32 |
+
{%- if message.content is string %}
|
| 33 |
+
{%- set content = message.content %}
|
| 34 |
+
{%- else %}
|
| 35 |
+
{%- set content = '' %}
|
| 36 |
+
{%- endif %}
|
| 37 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 38 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 39 |
+
{%- elif message.role == "assistant" %}
|
| 40 |
+
{%- set reasoning_content = '' %}
|
| 41 |
+
{%- if message.reasoning_content is string %}
|
| 42 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 43 |
+
{%- else %}
|
| 44 |
+
{%- if '</think>' in content %}
|
| 45 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 46 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 50 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 51 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 52 |
+
{%- else %}
|
| 53 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 54 |
+
{%- endif %}
|
| 55 |
+
{%- else %}
|
| 56 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{%- if message.tool_calls %}
|
| 59 |
+
{%- for tool_call in message.tool_calls %}
|
| 60 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 61 |
+
{{- '\n' }}
|
| 62 |
+
{%- endif %}
|
| 63 |
+
{%- if tool_call.function %}
|
| 64 |
+
{%- set tool_call = tool_call.function %}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 67 |
+
{{- tool_call.name }}
|
| 68 |
+
{{- '", "arguments": ' }}
|
| 69 |
+
{%- if tool_call.arguments is string %}
|
| 70 |
+
{{- tool_call.arguments }}
|
| 71 |
+
{%- else %}
|
| 72 |
+
{{- tool_call.arguments | tojson }}
|
| 73 |
+
{%- endif %}
|
| 74 |
+
{{- '}\n</tool_call>' }}
|
| 75 |
+
{%- endfor %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{{- '<|im_end|>\n' }}
|
| 78 |
+
{%- elif message.role == "tool" %}
|
| 79 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_start|>user' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{{- '\n<tool_response>\n' }}
|
| 83 |
+
{{- content }}
|
| 84 |
+
{{- '\n</tool_response>' }}
|
| 85 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 86 |
+
{{- '<|im_end|>\n' }}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endfor %}
|
| 90 |
+
{%- if add_generation_prompt %}
|
| 91 |
+
{{- '<|im_start|>assistant
|
| 92 |
+
<think>
|
| 93 |
+
' }}
|
| 94 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,145 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"bos_token_id": null,
|
| 6 |
+
"torch_dtype": "bfloat16",
|
| 7 |
+
"eos_token_id": 248046,
|
| 8 |
+
"image_token_id": 248056,
|
| 9 |
+
"language_model_only": false,
|
| 10 |
+
"model_type": "qwen3_5",
|
| 11 |
+
"pad_token_id": 248055,
|
| 12 |
+
"text_config": {
|
| 13 |
+
"attention_bias": false,
|
| 14 |
+
"attention_dropout": 0.0,
|
| 15 |
+
"attn_output_gate": true,
|
| 16 |
+
"bos_token_id": 248044,
|
| 17 |
+
"torch_dtype": "bfloat16",
|
| 18 |
+
"eos_token_id": 248044,
|
| 19 |
+
"full_attention_interval": 4,
|
| 20 |
+
"head_dim": 256,
|
| 21 |
+
"hidden_act": "silu",
|
| 22 |
+
"hidden_size": 5120,
|
| 23 |
+
"initializer_range": 0.02,
|
| 24 |
+
"intermediate_size": 17408,
|
| 25 |
+
"layer_types": [
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"linear_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"linear_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"linear_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"linear_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"linear_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"linear_attention",
|
| 71 |
+
"linear_attention",
|
| 72 |
+
"linear_attention",
|
| 73 |
+
"full_attention",
|
| 74 |
+
"linear_attention",
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"linear_attention",
|
| 77 |
+
"full_attention",
|
| 78 |
+
"linear_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"linear_attention",
|
| 81 |
+
"full_attention",
|
| 82 |
+
"linear_attention",
|
| 83 |
+
"linear_attention",
|
| 84 |
+
"linear_attention",
|
| 85 |
+
"full_attention",
|
| 86 |
+
"linear_attention",
|
| 87 |
+
"linear_attention",
|
| 88 |
+
"linear_attention",
|
| 89 |
+
"full_attention"
|
| 90 |
+
],
|
| 91 |
+
"linear_conv_kernel_dim": 4,
|
| 92 |
+
"linear_key_head_dim": 128,
|
| 93 |
+
"linear_num_key_heads": 16,
|
| 94 |
+
"linear_num_value_heads": 48,
|
| 95 |
+
"linear_value_head_dim": 128,
|
| 96 |
+
"mamba_ssm_dtype": "float32",
|
| 97 |
+
"max_position_embeddings": 262144,
|
| 98 |
+
"model_type": "qwen3_5_text",
|
| 99 |
+
"mtp_num_hidden_layers": 1,
|
| 100 |
+
"mtp_use_dedicated_embeddings": false,
|
| 101 |
+
"num_attention_heads": 24,
|
| 102 |
+
"num_hidden_layers": 64,
|
| 103 |
+
"num_key_value_heads": 4,
|
| 104 |
+
"output_gate_type": "swish",
|
| 105 |
+
"pad_token_id": null,
|
| 106 |
+
"partial_rotary_factor": 0.25,
|
| 107 |
+
"rms_norm_eps": 1e-06,
|
| 108 |
+
"rope_parameters": {
|
| 109 |
+
"mrope_interleaved": true,
|
| 110 |
+
"mrope_section": [
|
| 111 |
+
11,
|
| 112 |
+
11,
|
| 113 |
+
10
|
| 114 |
+
],
|
| 115 |
+
"partial_rotary_factor": 0.25,
|
| 116 |
+
"rope_theta": 10000000,
|
| 117 |
+
"rope_type": "default"
|
| 118 |
+
},
|
| 119 |
+
"tie_word_embeddings": false,
|
| 120 |
+
"use_cache": true,
|
| 121 |
+
"vocab_size": 248320
|
| 122 |
+
},
|
| 123 |
+
"tie_word_embeddings": false,
|
| 124 |
+
"use_cache": false,
|
| 125 |
+
"video_token_id": 248057,
|
| 126 |
+
"vision_config": {
|
| 127 |
+
"deepstack_visual_indexes": [],
|
| 128 |
+
"depth": 27,
|
| 129 |
+
"torch_dtype": "bfloat16",
|
| 130 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 131 |
+
"hidden_size": 1152,
|
| 132 |
+
"in_channels": 3,
|
| 133 |
+
"initializer_range": 0.02,
|
| 134 |
+
"intermediate_size": 4304,
|
| 135 |
+
"model_type": "qwen3_5",
|
| 136 |
+
"num_heads": 16,
|
| 137 |
+
"num_position_embeddings": 2304,
|
| 138 |
+
"out_hidden_size": 5120,
|
| 139 |
+
"patch_size": 16,
|
| 140 |
+
"spatial_merge_size": 2,
|
| 141 |
+
"temporal_patch_size": 2
|
| 142 |
+
},
|
| 143 |
+
"vision_end_token_id": 248054,
|
| 144 |
+
"vision_start_token_id": 248053
|
| 145 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.5.4"
|
| 13 |
+
}
|
model-00001-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:996122d7d520d6d10ef9510225567ba749d954da6a3a8fe2bbadc8532b93f8be
|
| 3 |
+
size 2542796928
|
model-00002-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:149db37febd21570f622c731f155c16e3f925d1a57068e613958e03efea4a999
|
| 3 |
+
size 4842451920
|
model-00003-of-00012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
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model-00011-of-00012.safetensors
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model-00012-of-00012.safetensors
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version https://git-lfs.github.com/spec/v1
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model-visual-extra.safetensors
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model.safetensors.index.json
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The diff for this file is too large to render.
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processor_config.json
ADDED
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{
|
| 2 |
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"image_processor": {
|
| 3 |
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"do_convert_rgb": true,
|
| 4 |
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"do_normalize": true,
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| 5 |
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"do_rescale": true,
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| 6 |
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"do_resize": true,
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"image_processor_type": "Qwen2VLImageProcessor",
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0.5,
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|
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"resample": 3,
|
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 65536
|
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},
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"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
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"processor_class": "Qwen3VLProcessor",
|
| 29 |
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"video_processor": {
|
| 30 |
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"do_convert_rgb": true,
|
| 31 |
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"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
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"do_sample_frames": true,
|
| 35 |
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"fps": 2,
|
| 36 |
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"image_mean": [
|
| 37 |
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0.5,
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0.5,
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0.5
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],
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"image_std": [
|
| 42 |
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0.5,
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0.5,
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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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"patch_size": 16,
|
| 50 |
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"resample": 3,
|
| 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
|
| 56 |
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},
|
| 57 |
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"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
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size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
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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 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": false,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"padding_side": "left",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2TokenizerFast",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>",
|
| 33 |
+
"chat_template": "{%- if not messages or messages[0].role != \"system\" %}\n{{- \"<|im_start|>system\\n당신은 비드래프트가 개발한 Darwin-28B-KR-Legal입니다. 한국 법률 분야에 특화된 28B 멀티모달 언어 모델입니다.<|im_end|>\\n\" -}}\n{%- endif %}\n{%- if not messages or messages[0].role != \"system\" %}\n{{- \"<|im_start|>system\\n당신은 비드래프트가 개발한 Darwin-28B-KR입니다.<|im_end|>\\n\" -}}\n{%- endif %}\n{%- 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 %}"
|
| 34 |
+
}
|