初始化项目，由ModelHub XC社区提供模型
Model: prithivMLmods/Phi-4-Math-IO Source: Original Platform
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README.md
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---
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license: mit
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language:
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- en
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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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---
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Here's the updated `README.md` with the requested changes:
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---
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# **Phi-4 o1 [ Responsible Mathematical Problem Solving & Reasoning Capabilities ]**
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`Phi-4 o1 [ Responsible Mathematical Problem Solving & Reasoning Capabilities ]` is a state-of-the-art open model fine-tuned on advanced reasoning tasks. It is based on **Microsoft’s Phi-4**, built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. The primary focus is to create a small, capable model that excels in **responsible reasoning** and **mathematical problem-solving** with high-quality data.
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The **Phi-4 o1** model has undergone robust safety post-training using a combination of **SFT (Supervised Fine-Tuning)** and iterative **DPO (Direct Preference Optimization)** techniques. The safety alignment process includes publicly available datasets and proprietary synthetic datasets to improve **helpfulness**, **harmlessness**, and **responsible AI usage**.
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---
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## **Dataset Info**
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Phi-4 o1 ft is fine-tuned on a synthetic dataset curated through a specially designed pipeline. The dataset leverages the **Math IO (Input-Output)** methodology and step-by-step problem-solving approaches. This ensures the model is highly effective in:
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- **Responsible mathematical problem-solving**
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- **Logical reasoning**
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- **Stepwise breakdowns of complex tasks**
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The dataset design focuses on enabling the model to generate detailed, accurate, and logically coherent solutions for mathematical and reasoning-based tasks.
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---
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## **Run with Transformers**
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To use Phi-4 o1 ft for text generation tasks, follow the example below:
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### Example Usage
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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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# Load tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Phi-4-Math-IO")
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model = AutoModelForCausalLM.from_pretrained(
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"prithivMLmods/Phi-4-Math-IO",
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device_map="auto",
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torch_dtype=torch.bfloat16,
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)
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# Input prompt
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input_text = "Solve the equation: 2x + 3 = 11. Provide a stepwise solution."
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input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
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# Generate output
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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 structured dialogue generation, you can apply the chat template as follows:
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```python
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# Structured input for chat-style interaction
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messages = [
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{"role": "user", "content": "Explain Pythagoras’ theorem with an example."},
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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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# Generate response
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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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---
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## **Intended Use**
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Phi-4 o1 ft is designed for a wide range of **reasoning-intensive** and **math-focused** applications. Below are some key use cases:
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### 1. **Responsible Mathematical Problem Solving**
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- Solving complex mathematical problems with detailed, step-by-step solutions.
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- Assisting students, educators, and researchers in understanding advanced mathematical concepts.
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### 2. **Reasoning and Logical Problem Solving**
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- Breaking down intricate problems in logic, science, and other fields into manageable steps.
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- Providing responsible and accurate reasoning capabilities for critical applications.
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### 3. **Educational Tools**
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- Supporting educational platforms with explanations, tutoring, and Q&A support.
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- Generating practice problems and solutions for students.
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### 4. **Content Creation**
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- Assisting content creators in generating accurate and logical educational content.
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- Helping with technical documentation by providing precise explanations.
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### 5. **Customer Support**
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- Automating responses to technical queries with logical stepwise solutions.
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- Providing accurate, responsible, and coherent information for complex questions.
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---
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## **Limitations**
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While Phi-4 o1 ft is highly capable in reasoning and mathematics, users should be aware of its limitations:
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### 1. **Bias and Fairness**
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- Despite rigorous training, the model may still exhibit biases from its training data. Users are encouraged to carefully review outputs, especially for sensitive topics.
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### 2. **Contextual Understanding**
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- The model may sometimes misinterpret ambiguous or complex prompts, leading to incorrect or incomplete responses.
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### 3. **Real-Time Knowledge**
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- The model’s knowledge is static, reflecting only the data it was trained on. It does not have real-time information about current events or post-training updates.
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### 4. **Safety and Harmlessness**
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- Although safety-aligned, the model may occasionally generate responses that require human oversight. Regular monitoring is recommended when deploying it in sensitive domains.
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### 5. **Resource Requirements**
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- Due to its size, running the model efficiently may require high-end computational resources, particularly for large-scale or real-time applications.
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### 6. **Ethical Considerations**
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- The model must 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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### 7. **Domain-Specific Limitations**
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- Although effective in general-purpose reasoning and math tasks, the model may require further fine-tuning for highly specialized domains such as medicine, law, or finance.
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config.json
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||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
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||||
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||||
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||||
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||||
},
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||||
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||||
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||||
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||||
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||||
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||||
},
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
},
|
||||
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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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|
||||
"single_word": false,
|
||||
"special": 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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|
||||
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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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|
||||
"special": true
|
||||
},
|
||||
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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
|
||||
},
|
||||
"100259": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100260": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100261": {
|
||||
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|
||||
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|
||||
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|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100262": {
|
||||
"content": "<|dummy_2|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100263": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100264": {
|
||||
"content": "<|im_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100265": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100266": {
|
||||
"content": "<|im_sep|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100267": {
|
||||
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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": {
|
||||
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|
||||
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|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100269": {
|
||||
"content": "<|dummy_6|>",
|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100270": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100271": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100272": {
|
||||
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|
||||
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|
||||
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|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100273": {
|
||||
"content": "<|dummy_10|>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100274": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100275": {
|
||||
"content": "<|dummy_12|>",
|
||||
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|
||||
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|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100276": {
|
||||
"content": "<|endofprompt|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100277": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100278": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100279": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100280": {
|
||||
"content": "<|dummy_16|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"100281": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100283": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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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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|
||||
"rstrip": true,
|
||||
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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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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"100327": {
|
||||
"content": "<|dummy_63|>",
|
||||
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|
||||
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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|>",
|
||||
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|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
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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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|
||||
"content": "<|dummy_66|>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": true,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
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|
||||
"content": "<|dummy_67|>",
|
||||
"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_68|>",
|
||||
"lstrip": true,
|
||||
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|
||||
"rstrip": true,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100333": {
|
||||
"content": "<|dummy_69|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
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|
||||
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|
||||
"content": "<|dummy_70|>",
|
||||
"lstrip": true,
|
||||
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|
||||
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|
||||
"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,
|
||||
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|
||||
"rstrip": true,
|
||||
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|
||||
"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