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
0.550
Logical Reasoning
0.789
0.801
0.810
0.819
Common Sense
0.716
0.702
0.725
0.736
Language Understanding
Reading Comprehension
0.671
0.685
0.690
0.700
Question Answering
0.582
0.599
0.601
0.607
Text Classification
0.803
0.811
0.820
0.828
Sentiment Analysis
0.777
0.781
0.790
0.792
Generation Tasks
Code Generation
0.615
0.631
0.640
0.650
Creative Writing
0.588
0.579
0.601
0.610
Dialogue Generation
0.621
0.635
0.639
0.644
Summarization
0.745
0.755
0.760
0.767
Specialized Capabilities
Translation
0.782
0.799
0.801
0.804
Knowledge Retrieval
0.651
0.668
0.670
0.676
Instruction Following
0.733
0.749
0.751
0.758
Safety Evaluation
0.718
0.701
0.725
0.739
Overall Performance Summary
Best Checkpoint:step_1000 eval_accuracy: 0.712
The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks. The model was selected from 10 checkpoints (step_100 through step_1000) based on the highest eval_accuracy.
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.
System Prompt
We recommend using the following system prompt with a specific date.
You are MyAwesomeModel, a helpful AI assistant.
Today is {current date}.
Temperature
We recommend setting the temperature parameter T_model to 0.6.
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.
