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Model: dnotitia/DNA-R1 Source: Original Platform
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---
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language:
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- en
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- ko
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license: cc-by-nc-4.0
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tags:
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- dnotitia
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- nlp
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- llm
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- slm
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- conversation
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- chat
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- reasoning
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- r1
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base_model:
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- microsoft/phi-4
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library_name: transformers
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pipeline_tag: text-generation
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---
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# DNA-R1
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<p align="center">
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<img src="assets/dna-r1-logo.png" width="400" style="margin: 40px auto;">
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</p>
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We introduce **DNA-R1**, a specialized reasoning model optimized for Korean language based on Microsoft's Phi-4. By applying large-scale reinforcement learning (RL) using the same methodology as DeepSeek-R1, we have significantly enhanced the model's Korean reasoning capabilities. This model demonstrates deep understanding of Korean text and exhibits exceptional reasoning abilities across mathematics, coding, and general reasoning tasks.
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<p align="center">
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<img src="assets/dna-r1-pipeline.png" width="100%" style="margin: 40px auto;">
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</p>
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## Training Methodology
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Our comprehensive training pipeline consists of three strategic stages:
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- **Stage 1:** Initial SFT with a large Korean non-reasoning dataset (760k examples) reused from our [DNA 1.0 8B Instruct](https://huggingface.co/dnotitia/Llama-DNA-1.0-8B-Instruct) training pipeline
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- **Stage 2:** Strategic integration of Korean reasoning patterns from DeepSeek R1 using a specialized Korean reasoning dataset (300k examples)
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- **Stage 3:** Advanced reinforcement learning with GRPO using a combined Korean/English reasoning dataset, with format, accuracy, and language consistency as rewards
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DNA-R1 has learned reasoning patterns specifically tailored for Korean language, and demonstrates capabilities such as self-verification, reflection, and generation of long chains-of-thought (CoT). This represents a significant milestone for the AI research community in the Korean language environment.
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## Model Specifications
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- **Developed by:** Dnotitia Inc.
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- **Supported Languages:** Korean, English
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- **Model Release Date:** Mar 6, 2025
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- **Number of Parameters:** 14B
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- **License:** CC BY-NC 4.0
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<div style="padding: 2px 8px; background-color: hsl(240, 100%, 50%, 0.1); border-radius: 5px">
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<p><strong>NOTICE (Korean):</strong></p>
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<p>본 모델은 상업적 목적으로 활용하실 수 있습니다. 상업적 이용을 원하시는 경우, 디노티시아 홈페이지의 <a href="https://www.dnotitia.com/contact/post-form">Contact us</a>를 통해 문의해 주시기 바랍니다. 간단한 협의 절차를 거쳐 상업적 활용을 승인해 드리도록 하겠습니다.</p>
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</div>
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## Technical Details
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### Multi-Stage Training Pipeline
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We implemented a sophisticated training approach to enhance Phi-4's Korean reasoning capabilities:
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1. **Initial Foundation (Stage 1):** Supervised Fine-Tuning using our extensive Korean non-reasoning dataset from the established [DNA 1.0 8B Instruct](https://huggingface.co/dnotitia/Llama-DNA-1.0-8B-Instruct) training pipeline
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2. **Reasoning Integration (Stage 2):** Specialized adaptation of DeepSeek R1's reasoning patterns with Korean-specific optimization through a meticulously curated dataset
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3. **Advanced Refinement (Stage 3):** Reinforcement learning optimization using GRPO to perfect reasoning in both Korean and English, with comprehensive reward signals for format structure, factual accuracy, and language consistency
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This methodical approach enables DNA-R1 to develop sophisticated chain-of-thought (CoT) reasoning for complex problem solving, resulting in a model finely calibrated for Korean language reasoning while maintaining robust general capabilities.
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### Performance Highlights
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Our Korean-specific multi-stage training pipeline significantly enhances the Phi-4 base model's understanding of Korean context, reasoning depth, and response capabilities. The model excels at:
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- Generating nuanced Korean chains-of-thought (CoT)
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- Performing rigorous self-verification
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- Solving multi-step complex problems
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- Maintaining cultural and linguistic context in reasoning
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- Distinguishing between deep thinking and concise answers using the `<think>` and `<answer>` tags
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## Evaluation Results
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Below, we present our evaluation results for the DNA-R1 model across math, coding, science, Korean, and general-performance benchmarks.
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Despite being only 14B in size, the DNA-R1 model demonstrates superior performance compared to many larger models across various benchmarks.
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<table>
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<thead>
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<tr>
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<th>Benchmark</th>
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<th>Task</th>
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<th>DNA-R1 (14B)</th>
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<th>DeepSeek-R1-Distill-Qwen-14B</th>
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<th>DeepSeek-R1-Distill-Qwen-32B</th>
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<th>EXAONE-3.5-32B-Instruct</th>
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<th>QwQ-32B-Preview</th>
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<th>gpt-4o-0513</th>
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<th>o1-mini</th>
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<th>o1-preview</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>GSM8K</td>
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<td rowspan="4">Math</td>
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<td><b>92.49</b></td>
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<td>88.63</td>
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<td>82.64</td>
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<td><u>91.9</u></td>
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<td>82.41</td>
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<td>-</td>
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<td>-</td>
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<td>-</td>
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</tr>
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<tr>
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<td>Math500</td>
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<td><u>89.4</u></td>
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<td>88.2</td>
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<td>87.4</td>
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<td>75.8</td>
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<td><b>92.2</b></td>
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<td>75.8</td>
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<td>85.6</td>
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<td>81.4</td>
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</tr>
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<tr>
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<td>AIME2024</td>
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<td>53.3</td>
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<td><u>69.7</u></td>
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<td><b>72.6</b></td>
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<td>6.67</td>
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<td>50.0</td>
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<td>8.6</td>
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<td>64.0</td>
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<td>40</td>
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</tr>
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<tr>
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<td>OlympiadBench (Math, EN)</td>
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<td><u>59.94</u></td>
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<td>56.82</td>
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<td>55.34</td>
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<td>38.58</td>
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<td><b>62.17</b></td>
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<td>-</td>
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<td>-</td>
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<td>59.2</td>
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</tr>
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<tr>
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<td>GPQA-Diamond</td>
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<td>Science/Reasoning</td>
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<td><u>61.11</u></td>
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<td>59.1</td>
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<td>58.08</td>
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<td>33.33</td>
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<td>52.5</td>
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<td>46.5</td>
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<td>60</td>
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<td><b>75.2</b></td>
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</tr>
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<tr>
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<td>LiveCodeBench</td>
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<td>Coding</td>
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<td>50.58</td>
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<td>59.88</td>
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<td><u>61.65</u></td>
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<td>19.8</td>
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<td>59.12</td>
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<td>50.48</td>
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<td><b>72.75</b></td>
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<td>59.14</td>
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</tr>
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<tr>
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<td>KMMLU-direct</td>
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<td rowspan="3">Korean</td>
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<td><u>59.9</u></td>
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<td>50.5</td>
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<td>58.62</td>
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<td>50.72</td>
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<td><b>62.96</b></td>
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<td>-</td>
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<td>-</td>
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<td>-</td>
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</tr>
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<tr>
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<td>KMMLU-hard</td>
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<td><u>36.65</u></td>
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<td>25.34</td>
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<td>33.67</td>
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<td>25.46</td>
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<td><b>37.98</b></td>
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<td>-</td>
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<td>-</td>
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<td>-</td>
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</tr>
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<tr>
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<td>KoBEST</td>
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<td>83.05</td>
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<td>74.32</td>
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<td>78.53</td>
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<td><b>86.54</b></td>
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<td><u>85.93</u></td>
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<td>-</td>
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<td>-</td>
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<td>-</td>
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</tr>
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<tr>
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<td>MMLU-Pro</td>
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<td rowspan="3">General</td>
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<td><u>57.64</u></td>
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<td>50.55</td>
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<td><b>59.58</b></td>
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<td>-</td>
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<td>46.82</td>
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<td>-</td>
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<td>-</td>
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<td>-</td>
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</tr>
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</tbody>
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</table>
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- The *highest* *scores* are in **bold** form, and the *second*\-*highest* *scores* are <u>underlined</u>.
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- All benchmarks are evaluated with [lm-eval](https://github.com/EleutherAI/lm-evaluation-harness) and [skythought-eval](https://github.com/NovaSky-AI/SkyThought/tree/main/skythought/evals).
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## Quickstart
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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tokenizer = AutoTokenizer.from_pretrained('dnotitia/DNA-R1')
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model = AutoModelForCausalLM.from_pretrained('dnotitia/DNA-R1', device_map='auto')
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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conversation = [
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{"role": "user", "content": """
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어려서부터 우리 집은 가난했었고
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남들 다하는 외식 몇 번 한 적이 없었고
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일터에 나가신 어머니 집에 없으면
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언제나 혼자서 끓여 먹었던 라면
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그러다 라면이 너무 지겨워서
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맛있는 것 좀 먹자고 대들었었어
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그러자 어머님이 마지못해 꺼내신
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숨겨두신 비상금으로 시켜주신
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짜장면 하나에 너무나 행복했었어
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하지만 어머님은 왠지 드시질 않았어
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어머님은 짜장면이 싫다고 하셨어
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어머님은 짜장면이 싫다고 하셨어
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야이야~야 그렇게 살아가고
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그렇게 후회하고 눈물도 흘리고
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야이야~야 그렇게 살아가고
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너무나 아프고 하지만 다시 웃고
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---
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친구가 쓴 시인데, 여기서 친구의 어머니가 짜장면이 싫다고 하신 이유는?사랑or희생?"""},
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]
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inputs = tokenizer.apply_chat_template(conversation,
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add_generation_prompt=True,
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return_dict=True,
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return_tensors="pt").to(model.device)
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_ = model.generate(**inputs, streamer=streamer)
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```
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## License
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This model is released under CC BY-NC 4.0 license. If you have any questions or commercial usage inquiries, please [Contact us](https://www.dnotitia.com/contact/post-form).
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## Citation
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If you use or discuss this model in your academic research, please cite the project to help spread awareness:
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```
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@misc{dnar12025,
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title={DNA R1},
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author={Jungyup Lee and Jemin Kim and Sang Park and SeungJae Lee},
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year={2025},
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||||||
|
publisher={HuggingFace},
|
||||||
|
url={https://huggingface.co/dnotitia/DNA-R1}
|
||||||
|
}
|
||||||
|
```
|
||||||
6
added_tokens.json
Normal file
6
added_tokens.json
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
{
|
||||||
|
"</answer>": 100355,
|
||||||
|
"</think>": 100353,
|
||||||
|
"<answer>": 100354,
|
||||||
|
"<think>": 100352
|
||||||
|
}
|
||||||
BIN
assets/dna-r1-logo.png
Normal file
BIN
assets/dna-r1-logo.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 16 KiB |
BIN
assets/dna-r1-pipeline.png
Normal file
BIN
assets/dna-r1-pipeline.png
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|
After Width: | Height: | Size: 101 KiB |
33
config.json
Normal file
33
config.json
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
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|
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|
],
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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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
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||||
16
generation_config.json
Normal file
16
generation_config.json
Normal file
@@ -0,0 +1,16 @@
|
|||||||
|
{
|
||||||
|
"_from_model_config": true,
|
||||||
|
"bos_token_id": 100257,
|
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|
"eos_token_id": [
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|
100265,
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|
100355
|
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|
],
|
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|
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|
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|
"do_sample": true,
|
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|
"temperature": 0.1,
|
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|
"top_p": 0.9,
|
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|
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|
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|
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|
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|
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|
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|
"transformers_version": "4.46.1"
|
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|
}
|
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100001
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Normal file
100001
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Normal file
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|
||||||
33
special_tokens_map.json
Normal file
33
special_tokens_map.json
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
||||||
|
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|
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|
||||||
|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:0c0835acb86f383b9741ed3681ae31827f02738ce071553f45b56cb37ac578fe
|
||||||
|
size 7153991
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818
tokenizer_config.json
Normal file
818
tokenizer_config.json
Normal file
@@ -0,0 +1,818 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
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|
||||||
|
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|
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|
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|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
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|
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|
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|
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|
||||||
|
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|
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|
||||||
|
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"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100266": {
|
||||||
|
"content": "<|im_sep|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100267": {
|
||||||
|
"content": "<|dummy_4|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100268": {
|
||||||
|
"content": "<|dummy_5|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100269": {
|
||||||
|
"content": "<|dummy_6|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100270": {
|
||||||
|
"content": "<|dummy_7|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100271": {
|
||||||
|
"content": "<|dummy_8|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100272": {
|
||||||
|
"content": "<|dummy_9|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100273": {
|
||||||
|
"content": "<|dummy_10|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100274": {
|
||||||
|
"content": "<|dummy_11|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100275": {
|
||||||
|
"content": "<|dummy_12|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100276": {
|
||||||
|
"content": "<|endofprompt|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100277": {
|
||||||
|
"content": "<|dummy_13|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100278": {
|
||||||
|
"content": "<|dummy_14|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100279": {
|
||||||
|
"content": "<|dummy_15|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100280": {
|
||||||
|
"content": "<|dummy_16|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100281": {
|
||||||
|
"content": "<|dummy_17|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100282": {
|
||||||
|
"content": "<|dummy_18|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100283": {
|
||||||
|
"content": "<|dummy_19|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100284": {
|
||||||
|
"content": "<|dummy_20|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100285": {
|
||||||
|
"content": "<|dummy_21|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100286": {
|
||||||
|
"content": "<|dummy_22|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100287": {
|
||||||
|
"content": "<|dummy_23|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100288": {
|
||||||
|
"content": "<|dummy_24|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100289": {
|
||||||
|
"content": "<|dummy_25|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100290": {
|
||||||
|
"content": "<|dummy_26|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100291": {
|
||||||
|
"content": "<|dummy_27|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100292": {
|
||||||
|
"content": "<|dummy_28|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100293": {
|
||||||
|
"content": "<|dummy_29|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100294": {
|
||||||
|
"content": "<|dummy_30|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100295": {
|
||||||
|
"content": "<|dummy_31|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100296": {
|
||||||
|
"content": "<|dummy_32|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100297": {
|
||||||
|
"content": "<|dummy_33|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100298": {
|
||||||
|
"content": "<|dummy_34|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100299": {
|
||||||
|
"content": "<|dummy_35|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100300": {
|
||||||
|
"content": "<|dummy_36|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100301": {
|
||||||
|
"content": "<|dummy_37|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100302": {
|
||||||
|
"content": "<|dummy_38|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100303": {
|
||||||
|
"content": "<|dummy_39|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100304": {
|
||||||
|
"content": "<|dummy_40|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100305": {
|
||||||
|
"content": "<|dummy_41|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100306": {
|
||||||
|
"content": "<|dummy_42|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100307": {
|
||||||
|
"content": "<|dummy_43|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100308": {
|
||||||
|
"content": "<|dummy_44|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100309": {
|
||||||
|
"content": "<|dummy_45|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100310": {
|
||||||
|
"content": "<|dummy_46|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100311": {
|
||||||
|
"content": "<|dummy_47|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100312": {
|
||||||
|
"content": "<|dummy_48|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100313": {
|
||||||
|
"content": "<|dummy_49|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100314": {
|
||||||
|
"content": "<|dummy_50|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100315": {
|
||||||
|
"content": "<|dummy_51|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100316": {
|
||||||
|
"content": "<|dummy_52|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100317": {
|
||||||
|
"content": "<|dummy_53|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100318": {
|
||||||
|
"content": "<|dummy_54|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100319": {
|
||||||
|
"content": "<|dummy_55|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100320": {
|
||||||
|
"content": "<|dummy_56|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100321": {
|
||||||
|
"content": "<|dummy_57|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100322": {
|
||||||
|
"content": "<|dummy_58|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100323": {
|
||||||
|
"content": "<|dummy_59|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100324": {
|
||||||
|
"content": "<|dummy_60|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100325": {
|
||||||
|
"content": "<|dummy_61|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100326": {
|
||||||
|
"content": "<|dummy_62|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100327": {
|
||||||
|
"content": "<|dummy_63|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100328": {
|
||||||
|
"content": "<|dummy_64|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100329": {
|
||||||
|
"content": "<|dummy_65|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100330": {
|
||||||
|
"content": "<|dummy_66|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100331": {
|
||||||
|
"content": "<|dummy_67|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100332": {
|
||||||
|
"content": "<|dummy_68|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100333": {
|
||||||
|
"content": "<|dummy_69|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100334": {
|
||||||
|
"content": "<|dummy_70|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100335": {
|
||||||
|
"content": "<|dummy_71|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100336": {
|
||||||
|
"content": "<|dummy_72|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100337": {
|
||||||
|
"content": "<|dummy_73|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100338": {
|
||||||
|
"content": "<|dummy_74|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100339": {
|
||||||
|
"content": "<|dummy_75|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100340": {
|
||||||
|
"content": "<|dummy_76|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100341": {
|
||||||
|
"content": "<|dummy_77|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100342": {
|
||||||
|
"content": "<|dummy_78|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100343": {
|
||||||
|
"content": "<|dummy_79|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100344": {
|
||||||
|
"content": "<|dummy_80|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100345": {
|
||||||
|
"content": "<|dummy_81|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100346": {
|
||||||
|
"content": "<|dummy_82|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100347": {
|
||||||
|
"content": "<|dummy_83|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100348": {
|
||||||
|
"content": "<|dummy_84|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100349": {
|
||||||
|
"content": "<|dummy_85|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100350": {
|
||||||
|
"content": "<|dummy_86|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100351": {
|
||||||
|
"content": "<|dummy_87|>",
|
||||||
|
"lstrip": true,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": true,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"100352": {
|
||||||
|
"content": "<think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"100353": {
|
||||||
|
"content": "</think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"100354": {
|
||||||
|
"content": "<answer>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"100355": {
|
||||||
|
"content": "</answer>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_end|>"
|
||||||
|
],
|
||||||
|
"bos_token": "<|endoftext|>",
|
||||||
|
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{'<|im_start|>system<|im_sep|>' + system_message + '<|im_end|>'}}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user<|im_sep|>\\n' + message['content'] + '\\n<|im_end|>'}}{% endif %}{% if message['role'] == 'assistant' and message['content'] is not none %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|im_start|>assistant<|im_sep|>' + content + '<|im_end|>'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant<|im_sep|><think>'}}{% endif %}",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"model_max_length": 16384,
|
||||||
|
"pad_token": "<|dummy_85|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "GPT2Tokenizer",
|
||||||
|
"unk_token": "<|endoftext|>"
|
||||||
|
}
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user