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  This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted areas.
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- - **Base Model:** (Name of the base model)
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- - **Skill Tree Applied:** (Name of the skill tree used for enhancement)
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  - **Language(s) (NLP):** Japanese
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- ## Model Details
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-
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  ### Example 1:
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- - **Input:** Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?\n
 
 
 
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  - **Output:**
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  ```
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  Let's solve this problem using Python code.
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  ### Example 2:
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- - **Input:** ナタリアは4月に48人の友人にクリップを売り、5月にはその半分の数のクリップを売った。ナタリアが4月と5月に売ったクリップの数は?:\n
 
 
 
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  - **Output:**
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  ```
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  Let's solve this problem using Python code.
 
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  This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted areas.
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+ - **Base Model:** [tokyotech-llm/Swallow-MS-7b-v0.1](https://huggingface.co/tokyotech-llm/Swallow-MS-7b-v0.1)
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+ - **Skill Tree:** [HachiML/SkillTree-Math-OpenMath-Mistral-7B-v0.1](https://huggingface.co/HachiML/SkillTree-Math-OpenMath-Mistral-7B-v0.1)
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  - **Language(s) (NLP):** Japanese
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+ - **Functionality Status:** **Functional** / Non-Functional / Not Verified
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Uses
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  ### Example 1:
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+ - **Input:**
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+ ```
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+ Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?\n
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+ ```
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  - **Output:**
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  ```
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  Let's solve this problem using Python code.
 
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  ### Example 2:
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+ - **Input:**
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+ ```
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+ ナタリアは4月に48人の友人にクリップを売り、5月にはその半分の数のクリップを売った。ナタリアが4月と5月に売ったクリップの数は?:\n
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+ ```
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  - **Output:**
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  ```
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  Let's solve this problem using Python code.