DSAD123GFTQ/MyAwesomeModel-TestRepo

feature-extraction model by DSAD123GFTQ

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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…

DSAD123GFTQ/MyAwesomeModel-TestRepo on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-20T07:33:43.168Z

Inside the original model card — Document outline
  1. MyAwesomeModel
  2. 1. Introduction
  3. 2. Evaluation Results
  4. Comprehensive Benchmark Results
  5. Overall Performance Summary
  6. 3. Chat Website & API Platform
  7. 4. How to Run Locally
  8. System Prompt
  9. Temperature
  10. Prompts for File Uploading and Web Search
  11. 5. License
  12. 6. Contact

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Model overview

DSAD123GFTQ/MyAwesomeModel-TestRepo is a feature-extraction model repository published by DSAD123GFTQ on Hugging Face. The source reports the transformers library.

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Model facts

Task
feature-extraction
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
BertModel
License
mit
Access
Not gated by Hugging Face
Created
2026-09-20T06:14:37.000Z
Last modified
2026-09-20T06:14:53.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-20T06:35:52.874Z. Daily imports are snapshots, not real-time monitoring.

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