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BertQA by krushnakant27

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  Autotrain compatible   Base model:facebook/opt-125m Base model:finetune:facebook/o...   Endpoints compatible   Generated from trainer   Opt   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/krushnakant27/bertQA 

BertQA Benchmarks

LLME Score: 0.17068
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BertQA (krushnakant27/bertQA)

BertQA Parameters and Internals

LLM NameBertQA
Repository 🤗https://huggingface.co/krushnakant27/bertQA 
Base Model(s)  Opt 125M   facebook/opt-125m
Model Size125m
Required VRAM0.5 GB
Updated2025-04-05
Maintainerkrushnakant27
Model Typeopt
Model Files  0.5 GB   0.0 GB
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassGPT2Tokenizer
Padding Token</s>
Vocabulary Size50272
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

Best Alternatives to BertQA

Best Alternatives
Context / RAM
Downloads
Likes
...5M Qcqa Ub 6 Best For KV Cache2K / 0.5 GB380
...125M Qcqa Ub 6 Best For Q Loss2K / 0.5 GB240
...25M Gqa Ub 6 Best For KV Cache2K / 0.5 GB300
Opt 125M2K / 0.3 GB6448507198
Galactica 125M Cot2K / 0.5 GB60
Galactica Ref2K / 0.5 GB130
Galactica 125M DPO Pos2K / 0.5 GB130
Galactica 125M DPO2K / 0.5 GB120
BertQA2K / 0.5 GB60
Opt 125M Quantized Brevitas2K /  GB50
Note: green Score (e.g. "73.2") means that the model is better than krushnakant27/bertQA.

Rank the BertQA Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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