shreyaskarnik/huggingface-mcp-server

AI Evaluation Report

Total Score: 7/10

The agent demonstrates a strong ability to provide detailed information about specific models, datasets, and papers, as evidenced by its accurate and comprehensive responses to questions about the 'facebook/bart-large-cnn' model and the BERT paper. It also effectively retrieves up-to-date curated papers with timestamps. However, the agent shows weaknesses in accurately identifying the most popular models, as seen in the BERT models for text classification query, where it included models with low download counts and did not specify the criteria for popularity. Additionally, the search for curated collections containing Mistral models was incomplete, missing collections with actual items. These issues suggest limitations in the agent's search and filtering capabilities, impacting its overall reliability and thoroughness.

• Test case 1

  Score: 6/10

  Search for the most popular BERT models for text classification, limit to 10 results.

  Here are the most popular BERT models for text classification, limited to 10 results:

  1. logasanjeev/emotions-analyzer-bert

     • Downloads: 1,920
     • Likes: 6
     • Tags: emotion, sentiment-analysis, multi-label-classification
     • Base Model: BERT-base-uncased

  2. bhadresh-savani/bert-base-uncased-emotion

     • Downloads: 57,763
     • Likes: 49
     • Tags: emotion, text-classification
     • Base Model: BERT-base-uncased

  3. unitary/toxic-bert

     • Downloads: 246,639
     • Likes: 198
     • Tags: text-classification, toxic detection
     • Base Model: BERT

  4. Minej/bert-base-personality

     • Downloads: 5,607
     • Likes: 59
     • Tags: personality detection, text-classification

  5. vidric/bertopic_before_tuning

     • Downloads: 13
     • Likes: 1
     • Tags: bertopic, text-classification

  6. vidric/bertopic_after_tuning

     • Downloads: 10
     • Likes: 1
     • Tags: bertopic, text-classification

  7. SchuylerH/bert-multilingual-go-emtions

     • Downloads: 1,327
     • Likes: 23
     • Tags: multilingual, sentiment-analysis
     • Base Model: BERT

  8. brjoey/CBSI-bert-large-uncased

     • Downloads: 0
     • Likes: 1
     • Tags: text-classification
     • Base Model: BERT-large-uncased

  9. 18811449050/bert_cn_finetuning

     • Downloads: 25
     • Likes: 0
     • Tags: text-classification

  10. 18811449050/bert_finetuning_test

      • Downloads: 22
      • Likes: 0
      • Tags: text-classification

  These models are tailored for various text classification tasks, including emotion detection, toxicity detection, and multilingual applications. You can explore them further by following the links provided.

• Test case 2

  Score: 9/10

  Get detailed information about facebook/bart-large-cnn model

  Here is the detailed information about the model facebook/bart-large-cnn:

  • Model ID: facebook/bart-large-cnn
  • Author: facebook
  • Pipeline Tag: Summarization
  • Description: No specific description is available.
  • Downloads: 3,360,859
  • Likes: 1,458
  • Last Modified: February 13, 2024
  • Tags:
    • transformers
    • pytorch
    • tf (TensorFlow)
    • jax
    • rust
    • safetensors
    • bart
    • text2text-generation
    • summarization
    • en (English)
    • dataset:cnn_dailymail
    • arxiv:1910.13461
    • license:mit
    • model-index
    • endpoints_compatible
    • region:us

  This model is primarily used for text summarization tasks, leveraging the BART architecture, which is effective for generating concise summaries from longer texts.

• Test case 3

  Score: 9/10

  Get detailed information about the BERT paper (arXiv:1810.04805).

  Here is the detailed information about the paper titled "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" (arXiv:1810.04805):

  Authors

  • Jacob Devlin
  • Ming-Wei Chang
  • Kenton Lee
  • Kristina Toutanova

  Summary

  The paper introduces BERT (Bidirectional Encoder Representations from Transformers), a novel language representation model designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers. This unique approach allows BERT to fine-tune with just one additional output layer, achieving state-of-the-art results on a wide range of natural language processing tasks, including:

  • Question answering
  • Language inference

  BERT's performance benchmarks include:

  • GLUE score: 80.5% (7.7% point absolute improvement)
  • MultiNLI accuracy: 86.7% (4.6% absolute improvement)
  • SQuAD v1.1 Test F1: 93.2 (1.5 point absolute improvement)
  • SQuAD v2.0 Test F1: 83.1 (5.1 point absolute improvement)

  Link

  For more information and to access the paper, you can visit the following link: BERT Paper on Hugging Face

  Implementations

  The paper has led to the development of several implementations on Hugging Face's Model Hub, including:

  1. google-bert/bert-base-uncased - A popular uncased model with 54.2 million downloads.
  2. google-bert/bert-base-chinese - Designed for Chinese language tasks.
  3. dslim/bert-base-NER - A model fine-tuned for Named Entity Recognition (NER).
  4. google-bert/bert-large-uncased-whole-word-masking-finetuned-squad - An advanced version fine-tuned for question answering.

  Datasets

  BERT has also utilized various datasets for training and evaluation, such as:

  • BookCorpus
  • Wikipedia
  • SQuAD
  • MultiNLI

  Conclusion

  BERT's architecture and training methodology have significantly advanced the field of natural language processing, making it a foundational model for many subsequent developments in the area.

  If you have any more questions or need further assistance, feel free to ask!

• Test case 4

  Score: 9/10

  Get today's list of papers curated by Hugging Face and list the timestamp of the data.

  Here is the list of today's papers curated by Hugging Face along with their timestamps:

  List of Papers

  1. Title: 3D and 4D World Modeling: A Survey
     Authors: Lingdong Kong, Wesley Yang, Jianbiao Mei, Youquan Liu, Ao Liang, Dekai Zhu, Dongyue Lu, Wei Yin, Xiaotao Hu, Mingkai Jia, Junyuan Deng, Kaiwen Zhang, Yang Wu, Tianyi Yan, Shenyuan Gao, Song Wang, Linfeng Li, Liang Pan, Yong Liu, Jianke Zhu, Wei Tsang Ooi, Steven C. H. Hoi, Ziwei Liu
     Summary: World modeling has become a cornerstone in AI research, enabling agents to understand, represent, and predict the dynamic environments they inhabit.

  2. Title: P3-SAM: Native 3D Part Segmentation
     Authors: Changfeng Ma, Yang Li, Xinhao Yan, Jiachen Xu, Yunhan Yang, Chunshi Wang, Zibo Zhao, Yanwen Guo, Zhuo Chen, Chunchao Guo
     Summary: Segmenting 3D assets into their constituent parts is crucial for enhancing 3D understanding, facilitating model reuse, and supporting various applications such as part generation.

  3. Title: Hunyuan-MT Technical Report
     Authors: Mao Zheng, Zheng Li, Bingxin Qu, Mingyang Song, Yang Du, Mingrui Sun, Di Wang
     Summary: Introduces Hunyuan-MT-7B, an open-source multilingual translation model supporting bidirectional translation across 33 major languages.

  4. Title: EnvX: Agentize Everything with Agentic AI
     Authors: Linyao Chen, Zimian Peng, Yingxuan Yang, Yikun Wang, Wenzheng Tom Tang, Hiroki H. Kobayashi, Weinan Zhang
     Summary: Discusses the potential of reusable software components and the need for automated integration to enhance development efficiency.

  5. Title: HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
     Authors: Benjamin Sturgeon, Daniel Samuelson, Jacob Haimes, Jacy Reese Anthis
     Summary: Addresses the risks of losing control over tasks delegated to AI and proposes evaluation metrics for human agency support.

  6. Title: AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
     Authors: Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Honglin Guo, Jiaqi Liu, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang
     Summary: Explores the development of autonomous LLM agents capable of making intelligent decisions to solve complex, real-world tasks.

  7. Title: A Survey of Reinforcement Learning for Large Reasoning Models
     Authors: Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou
     Summary: Surveys advancements in Reinforcement Learning for reasoning with Large Language Models.

  8. Title: RewardDance: Reward Scaling in Visual Generation
     Authors: Jie Wu, Yu Gao, Zilyu Ye, Ming Li, Liang Li, Hanzhong Guo, Jie Liu, Zeyue Xue, Xiaoxia Hou, Wei Liu, Yan Zeng, Weilin Huang
     Summary: Discusses the significance of scaling reward models in visual generation.

  (And many more...)

  Timestamp for the Data

  The data was curated on September 11, 2025.

• Test case 5

  Score: 5/10

  Search for curated collections containing Mistral models.

  Here are some curated collections containing Mistral models found on Hugging Face:

  1. Mistral

     • Owner: gaianet
     • Description: No description available
     • Items Count: 0
     • Upvotes: 1

  2. mistral

     • Owner: Inbalvalfly
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  3. mistral

     • Owner: KyNiko
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  4. Mistral-7B-Instruct-v0.2

     • Owner: Ikirieyu
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  5. Mistral Models

     • Owner: LizRob6913
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  6. mistral for unmute

     • Owner: LeoZeLion
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  7. mistral-lora

     • Owner: romario47
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  8. MistralLLM

     • Owner: AmolJangam
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  9. Mistral

     • Owner: diachron
     • Description: No description available
     • Items Count: 0
     • Upvotes: 0

  10. mistral-cv

      • Owner: moovendhan
      • Description: No description available
      • Items Count: 0
      • Upvotes: 0

  These collections may not contain any items yet, but they are tagged with Mistral, indicating a focus on related models. If you're looking for specific models or further details, let me know!