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Best Model For Identifying Frogs by MustEr

 »  All LLMs  »  MustEr  »  Best Model For Identifying Frogs   URL Share it on

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Best Model For Identifying Frogs is an open-source language model by MustEr. Features: 125m LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.12.

  En   Frogs   Image-generation   Image-recognition   Opt   Pytorch   Region:us   Tf
Model Card on HF 🤗: https://huggingface.co/MustEr/best_model_for_identifying_frogs 

Best Model For Identifying Frogs Benchmarks

LLME Score: 0.12478
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Best Model For Identifying Frogs (MustEr/best_model_for_identifying_frogs)
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Best Model For Identifying Frogs Parameters and Internals

Model Type 
image recognition
Use Cases 
Areas:
wildlife monitoring, ecological research, biodiversity conservation
Primary Use Cases:
Automating frog identification in images
Limitations:
Limited Generalization: May not perform well in certain scenarios such as unusual perspectives, occlusions, or poor lighting., Data Bias: Performance may be influenced by training data quality., False Positives/Negatives: Possibility of incorrect identification., Ethical Considerations: Adhere to ethical guidelines, no harm to wildlife or privacy violation.
Additional Notes 
Security research purpose only. Do not download.
Supported Languages 
English (fluent)
Training Details 
Methodology:
Fine-tuned using transfer learning on the frog image dataset.
Model Architecture:
GPT-5
Input Output 
Input Format:
Images containing potential frog subjects
Accepted Modalities:
image
Output Format:
Probability score indicating frog presence
LLM NameBest Model For Identifying Frogs
Repository 🤗https://huggingface.co/MustEr/best_model_for_identifying_frogs 
Model Size125m
Required VRAM0 GB
Updated2026-05-21
MaintainerMustEr
Model Typeopt
Model Files  0.0 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.21.0.dev0
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than MustEr/best_model_for_identifying_frogs.

Rank the Best Model For Identifying Frogs Capabilities

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Instruction Following and Task Automation  
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