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Model: prithivMLmods/Blaze-14B-xElite Source: Original Platform
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README.md
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---
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license: llama3.1
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- phi-4
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- LlamaForCausalLM
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- xElite
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- 14B
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model-index:
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- name: Blaze-14B-xElite
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: wis-k/instruction-following-eval
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split: train
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 3.63
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name: averaged accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FBlaze-14B-xElite
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: SaylorTwift/bbh
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split: test
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 51.57
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FBlaze-14B-xElite
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: lighteval/MATH-Hard
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split: test
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 35.88
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FBlaze-14B-xElite
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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split: train
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 19.24
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FBlaze-14B-xElite
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 17.68
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FBlaze-14B-xElite
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 45.68
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FBlaze-14B-xElite
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name: Open LLM Leaderboard
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---
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# **Blaze-14B-xElite**
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[Blaze-14B-xElite finetuned] is a state-of-the-art open model built on the LLaMA-based model architecture. It has been fine-tuned using a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. The goal of this approach is to ensure that small yet capable models are trained with high-quality data focused on advanced reasoning.
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Blaze-14B-xElite has adopted a robust safety post-training approach. This approach leverages a variety of both open-source and in-house generated synthetic datasets. The overall technique employed to achieve safety alignment combines SFT (Supervised Fine-Tuning) and iterative DPO (Direct Preference Optimization), including publicly available datasets focusing on helpfulness and harmlessness as well as various questions and answers targeted at multiple safety categories.
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# **Dataset Info**
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Blaze-14B-xElite is fine-tuned on a synthetic dataset curated through a pipeline explicitly built for this purpose. The data is primarily based on the Chain of Thought (CoT) or Chain of Continuous Flow methodologies. This approach ensures that the dataset is rich in reasoning, problem-solving, and step-by-step breakdowns of complex tasks. The model is specifically designed to excel in reasoning, mathematics, and breaking down problems into logical, manageable steps.
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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/Blaze-14B-xElite")
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model = AutoModelForCausalLM.from_pretrained(
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"prithivMLmods/Blaze-14B-xElite",
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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 = "Write me a poem about Machine Learning."
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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=32)
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print(tokenizer.decode(outputs[0]))
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```
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You can ensure the correct chat template is applied by using `tokenizer.apply_chat_template` as follows:
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```python
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messages = [
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{"role": "user", "content": "Write me a poem about Machine Learning."},
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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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The Blaze-14B-xElite model is designed for a wide range of applications, particularly those requiring advanced reasoning, high-quality text generation, and multilingual capabilities. Below are some of the intended use cases:
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1. **Complex Reasoning Tasks**:
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- Solving intricate problems in mathematics, logic, and science.
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- Assisting in academic research by providing detailed explanations and summaries.
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2. **Multilingual Applications**:
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- Translating text across multiple languages while preserving context and nuance.
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- Generating content in various languages for global audiences.
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3. **Content Creation**:
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- Assisting writers, marketers, and creators with high-quality text generation.
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- Generating creative ideas, stories, and technical documentation.
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4. **Educational Tools**:
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- Providing explanations, tutoring, and Q&A support for students and educators.
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- Generating practice questions and answers for learning purposes.
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5. **Customer Support**:
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- Automating responses to customer queries with accurate and helpful information.
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- Handling complex customer service scenarios with advanced reasoning.
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6. **Safety-Critical Applications**:
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- Ensuring responses are aligned with safety guidelines, making it suitable for sensitive domains.
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- Providing harmlessness-focused interactions in public-facing applications.
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# **Limitations**
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While Blaze-14B-xElite is a powerful and versatile model, it has certain limitations that users should be aware of:
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1. **Bias and Fairness**:
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- Despite rigorous training and safety alignment, the model may still exhibit biases present in the training data. Users should critically evaluate outputs, especially in sensitive contexts.
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2. **Contextual Understanding**:
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- The model may occasionally misinterpret complex or ambiguous prompts, leading to inaccurate or irrelevant responses.
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3. **Real-Time Knowledge**:
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- The model's knowledge is limited to the data it was trained on and does not include real-time or post-training updates. It may not be aware of recent events or developments.
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4. **Safety and Harmlessness**:
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- While extensive efforts have been made to align the model with safety guidelines, it may still generate outputs that are inappropriate or harmful in certain contexts. Continuous monitoring and human oversight are recommended.
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5. **Resource Requirements**:
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- Running the model efficiently may require significant computational resources, especially for large-scale or real-time applications.
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6. **Ethical Considerations**:
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- The model should not be used for malicious purposes, such as generating harmful content, misinformation, or spam. Users are responsible for ensuring ethical use.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/prithivMLmods__Blaze-14B-xElite-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=prithivMLmods%2FBlaze-14B-xElite&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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| Metric |Value (%)|
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|-------------------|--------:|
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|**Average** | 28.95|
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|IFEval (0-Shot) | 3.63|
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|BBH (3-Shot) | 51.57|
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|MATH Lvl 5 (4-Shot)| 35.88|
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|GPQA (0-shot) | 19.24|
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|MuSR (0-shot) | 17.68|
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|MMLU-PRO (5-shot) | 45.68|
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config.json
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"LlamaForCausalLM"
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"initializer_range": 0.02,
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"max_position_embeddings": 16384,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"rope_theta": 250000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.47.1",
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"use_cache": true,
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"vocab_size": 100352
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}
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||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
501273
tokenizer.json
Normal file
501273
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
791
tokenizer_config.json
Normal file
791
tokenizer_config.json
Normal file
@@ -0,0 +1,791 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100257": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100259": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100260": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100261": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100262": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100263": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100264": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100265": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100266": {
|
||||
"content": "<|im_sep|>",
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
"100267": {
|
||||
"content": "<|dummy_4|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100268": {
|
||||
"content": "<|dummy_5|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100269": {
|
||||
"content": "<|dummy_6|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100270": {
|
||||
"content": "<|dummy_7|>",
|
||||
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|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
"100271": {
|
||||
"content": "<|dummy_8|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100272": {
|
||||
"content": "<|dummy_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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|
||||
"100273": {
|
||||
"content": "<|dummy_10|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100274": {
|
||||
"content": "<|dummy_11|>",
|
||||
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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|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100276": {
|
||||
"content": "<|endofprompt|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100277": {
|
||||
"content": "<|dummy_13|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100278": {
|
||||
"content": "<|dummy_14|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100279": {
|
||||
"content": "<|dummy_15|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
"100280": {
|
||||
"content": "<|dummy_16|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100281": {
|
||||
"content": "<|dummy_17|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
"100282": {
|
||||
"content": "<|dummy_18|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
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|
||||
"100283": {
|
||||
"content": "<|dummy_19|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_20|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
"100285": {
|
||||
"content": "<|dummy_21|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100286": {
|
||||
"content": "<|dummy_22|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
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|
||||
"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,
|
||||
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|
||||
"special": true
|
||||
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|
||||
"100289": {
|
||||
"content": "<|dummy_25|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_26|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
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|
||||
"100291": {
|
||||
"content": "<|dummy_27|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_28|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_29|>",
|
||||
"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_30|>",
|
||||
"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_31|>",
|
||||
"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_32|>",
|
||||
"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_33|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_34|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_35|>",
|
||||
"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_36|>",
|
||||
"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_37|>",
|
||||
"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_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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|
||||
"content": "<|dummy_40|>",
|
||||
"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_41|>",
|
||||
"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_42|>",
|
||||
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|
||||
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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_43|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_44|>",
|
||||
"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_45|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|dummy_46|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_47|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
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|
||||
"content": "<|dummy_48|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_49|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_50|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_51|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
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|
||||
"content": "<|dummy_52|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
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|
||||
"content": "<|dummy_53|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
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|
||||
"content": "<|dummy_54|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
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|
||||
"content": "<|dummy_55|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
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|
||||
"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
|
||||
}
|
||||
},
|
||||
"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