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Model: prithivMLmods/Megatron-Opus-14B-2.1 Source: Original Platform
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README.md
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---
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license: llama3
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language:
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- en
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- zh
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base_model:
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- microsoft/phi-4
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- text-generation-inference
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- math
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- phi4
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- trl
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- sft
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- LlamaForCausalLM
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---
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# **Megatron-Opus-14B-2.1 [ Exp ]**
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[Megatron-Opus-14B-2.1 ] Exp finetuned from Microsoft's Phi-4 is a state-of-the-art open model developed with a focus on responsible problem solving and advanced reasoning capabilities. Built upon a diverse blend of synthetic datasets, carefully filtered public domain websites, and high-quality academic books and Q&A datasets, Megatron-Opus-14B-2.1 ensures that small, capable models are trained with datasets of exceptional depth and precision.
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Megatron-Opus-14B-2.1 adopts a robust safety post-training approach using open-source and in-house synthetic datasets. This involves a combination of SFT (Supervised Fine-Tuning) and iterative DPO (Direct Preference Optimization) techniques, ensuring helpful and harmless outputs across various safety categories.
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# **Dataset Info**
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Megatron-Opus-14B-2.1 is fine-tuned on a carefully curated synthetic dataset generated using an advanced pipeline optimized for Chain of Thought (CoT) reasoning and Responsible Problem Breakdown (RPB) methodologies. This ensures that the model excels at:
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- **Logical reasoning**
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- **Step-by-step problem-solving**
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- **Breaking down complex tasks into manageable parts**
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The dataset also emphasizes responsible decision-making and fairness in generating solutions.
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# **Run with Transformers**
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```python
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# pip install accelerate
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Megatron-Opus-14B-2.1")
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model = AutoModelForCausalLM.from_pretrained(
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"prithivMLmods/Megatron-Opus-14B-2.1",
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device_map="auto",
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torch_dtype=torch.bfloat16,
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)
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input_text = "Explain the concept of black holes."
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input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
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outputs = model.generate(**input_ids, max_new_tokens=64)
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print(tokenizer.decode(outputs[0]))
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```
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For chat-style interactions, use `tokenizer.apply_chat_template`:
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```python
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messages = [
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{"role": "user", "content": "Explain the concept of black holes."},
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]
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input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt", return_dict=True).to("cuda")
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outputs = model.generate(**input_ids, max_new_tokens=256)
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print(tokenizer.decode(outputs[0]))
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```
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# **Intended Use**
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Megatron-Opus-14B-2.1 is tailored for a wide range of applications, especially those involving **advanced reasoning**, **multilingual capabilities**, and **responsible problem-solving**. Its primary use cases include:
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1. **Responsible Problem Solving**
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- Breaking down complex problems into logical, actionable steps.
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- Offering ethical, well-rounded solutions in academic and professional contexts.
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2. **Advanced Reasoning Tasks**
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- Excelling in mathematics, logic, and scientific reasoning.
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- Providing detailed explanations and systematic answers.
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3. **Content Generation**
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- Assisting in generating high-quality content for various domains, including creative writing and technical documentation.
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- Supporting marketers, writers, and educators with detailed and well-structured outputs.
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4. **Educational Support**
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- Acting as a virtual tutor for students by generating practice questions, answers, and detailed explanations.
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- Helping educators design learning material that promotes critical thinking and step-by-step problem-solving.
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5. **Customer Support & Dialogue Systems**
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- Enabling chatbots and virtual assistants to provide accurate, helpful, and responsible responses.
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- Enhancing customer service with reasoning-driven automation.
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# **Limitations**
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Despite its strengths, Megatron-Opus-14B-2.1 has some limitations that users should be aware of:
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1. **Bias and Fairness**
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- While great effort has been made to minimize biases, users should critically assess the model’s output in sensitive scenarios to avoid unintended bias.
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2. **Contextual Interpretation**
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- The model may occasionally misinterpret highly nuanced prompts or ambiguous contexts, leading to suboptimal responses.
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3. **Knowledge Cutoff**
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- Megatron-Opus-14B-2.1’s knowledge is static and based on the data available at the time of training. It does not include real-time updates or information on recent developments.
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4. **Safety and Harmlessness**
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- Despite post-training safety alignment, inappropriate or harmful outputs may still occur. Continuous monitoring and human oversight are advised when using the model in critical contexts.
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5. **Computational Requirements**
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- Deploying Megatron-Opus-14B-2.1 efficiently may require substantial computational resources, particularly for large-scale deployments or real-time applications.
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config.json
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"vocab_size": 100352
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}
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"100275": {
|
||||
"content": "<|dummy_12|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100276": {
|
||||
"content": "<|endofprompt|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100277": {
|
||||
"content": "<|dummy_13|>",
|
||||
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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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|
||||
"content": "<|dummy_14|>",
|
||||
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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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|
||||
"content": "<|dummy_15|>",
|
||||
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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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|
||||
"content": "<|dummy_16|>",
|
||||
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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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|
||||
"content": "<|dummy_17|>",
|
||||
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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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|
||||
"content": "<|dummy_18|>",
|
||||
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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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|
||||
"content": "<|dummy_19|>",
|
||||
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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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|
||||
"content": "<|dummy_20|>",
|
||||
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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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|
||||
"content": "<|dummy_25|>",
|
||||
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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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|
||||
"content": "<|dummy_27|>",
|
||||
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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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|
||||
"content": "<|dummy_32|>",
|
||||
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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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|
||||
"content": "<|dummy_33|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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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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|
||||
"content": "<|dummy_35|>",
|
||||
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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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|
||||
"content": "<|dummy_36|>",
|
||||
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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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|
||||
"content": "<|dummy_37|>",
|
||||
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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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|
||||
"content": "<|dummy_38|>",
|
||||
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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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|
||||
"content": "<|dummy_39|>",
|
||||
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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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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_45|>",
|
||||
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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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|
||||
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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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|
||||
"content": "<|dummy_54|>",
|
||||
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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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|
||||
"content": "<|dummy_55|>",
|
||||
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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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|
||||
"content": "<|dummy_56|>",
|
||||
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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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|
||||
"content": "<|dummy_57|>",
|
||||
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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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|
||||
"content": "<|dummy_58|>",
|
||||
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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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|
||||
"content": "<|dummy_59|>",
|
||||
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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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|
||||
"content": "<|dummy_60|>",
|
||||
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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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|
||||
"content": "<|dummy_61|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_62|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_63|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_64|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_65|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_66|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_67|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_68|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
"100333": {
|
||||
"content": "<|dummy_69|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
"100334": {
|
||||
"content": "<|dummy_70|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
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|
||||
"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
|
||||
}
|
||||
},
|
||||
"bos_token": "<|endoftext|>",
|
||||
"chat_template": "{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'assistant') %}{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant<|im_sep|>' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 16384,
|
||||
"pad_token": "<|dummy_87|>",
|
||||
"padding_side": "left",
|
||||
"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": "�"
|
||||
}
|
||||
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