toolathlon-eval-17/MyAwesomeModel-TestRepo

MyAwesomeModel

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1. Introduction

The MyAwesomeModel has undergone a significant version upgrade. In the latest update, MyAwesomeModel has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational resources and introducing algorithmic optimization mechanisms during post-training. The model has demonstrated outstanding performance across various benchmark evaluations, including mathematics, programming, and general logic. Its overall performance is now approaching that of other leading models.

Compared to the previous version, the upgraded model shows significant improvements in handling complex reasoning tasks. For instance, in the AIME 2025 test, the model's accuracy has increased from 70% in the previous version to 87.5% in the current version. This advancement stems from enhanced thinking depth during the reasoning process: in the AIME test set, the previous model used an average of 12K tokens per question, whereas the new version averages 23K tokens per question.

Beyond its improved reasoning capabilities, this version also offers a reduced hallucination rate and enhanced support for function calling.

2. Evaluation Results

Comprehensive Benchmark Results

	Benchmark	Model1	Model2	Model1-v2	MyAwesomeModel
Core Reasoning Tasks	Math Reasoning	0.510	0.535	0.521	0.590
	Logical Reasoning	0.789	0.801	0.810	0.879
	Common Sense	0.716	0.702	0.725	0.836
Language Understanding	Reading Comprehension	0.671	0.685	0.690	0.811
	Question Answering	0.582	0.599	0.601	0.742
	Text Classification	0.803	0.811	0.820	0.873
	Sentiment Analysis	0.777	0.781	0.790	0.837
Generation Tasks	Code Generation	0.615	0.631	0.640	0.765
	Creative Writing	0.588	0.579	0.601	0.768
	Dialogue Generation	0.621	0.635	0.639	0.711
	Summarization	0.745	0.755	0.760	0.845
Specialized Capabilities	Translation	0.782	0.799	0.801	0.872
	Knowledge Retrieval	0.651	0.668	0.670	0.781
	Instruction Following	0.733	0.749	0.751	0.843
	Safety Evaluation	0.718	0.701	0.725	0.818

Overall Performance Summary

The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.

3. Chat Website & API Platform

We offer a chat interface and API for you to interact with MyAwesomeModel. Please check our official website for more details.

4. How to Run Locally

Please refer to our code repository for more information about running MyAwesomeModel locally.

Compared to previous versions, the usage recommendations for MyAwesomeModel have the following changes:

1. System prompt is supported.
2. All common Chinese languages are supported.
3. Temperature parameter $T_{model}$ is now set to 0.6.

System Prompt

We recommend using the following system prompt with a specific date.

You are MyAwesomeModel, a helpful AI assistant.
Today is {current date}.

For example,

You are MyAwesomeModel, a helpful AI assistant.
Today is May 28, 2025, Monday.

Temperature

5. License

This code repository is licensed under the MIT License. The use of MyAwesomeModel models is also subject to the MIT License. The model series supports commercial use and distillation.

6. Contact

If you have any questions, please raise an issue on our GitHub repository or contact us at contact@MyAwesomeModel.ai: ```