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Finsent Transformer by SAGAR4REAL

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Finsent Transformer is an open-source language model by SAGAR4REAL. Features: LLM, VRAM: 0.4GB, Context: 0.5K, LLM Explorer Score: 0.03.

  Endpoints compatible   Mpnet   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/SAGAR4REAL/finsent_transformer 

Finsent Transformer Benchmarks

LLME Score: 0.02506
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finsent Transformer (SAGAR4REAL/finsent_transformer)
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Finsent Transformer Parameters and Internals

LLM NameFinsent Transformer
Repository 🤗https://huggingface.co/SAGAR4REAL/finsent_transformer 
Required VRAM0.4 GB
Updated2026-05-09
MaintainerSAGAR4REAL
Model Typempnet
Model Files  0.4 GB   0.0 GB
Model ArchitectureAutoModel
Context Length514
Model Max Length514
Transformers Version4.8.2
Tokenizer ClassMPNetTokenizer
Padding Token<pad>
Vocabulary Size30527

Best Alternatives to Finsent Transformer

Best Alternatives
Context / RAM
Downloads
Likes
Argonne 2.5 Ctx1356813K / 2.4 GB170
Distil Longformer Base 40964K / 0.4 GB50
Daedalus 11K /  GB51
Tiny Random Detr1K / 0.2 GB150
Opengpt2 Pytorch Backward1K / 6 GB61
Opengpt2 Pytorch Forward1K / 6 GB41
Bert Chinese L 12 H 768 A 120.5K / 0.4 GB111
Simbert Chinese Base0.5K / 0.4 GB60
Simbert Chinese Tiny0.5K / 0 GB50
Bert Tiny0.5K / 0 GB2473938145
Note: green Score (e.g. "73.2") means that the model is better than SAGAR4REAL/finsent_transformer.

Rank the Finsent Transformer Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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