Mamba Financial Headline Sentiment by winddude

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Base model:finetune:state-spac... Base model:state-spaces/mamba-...   Dataset:financial phrasebank Dataset:winddude/finacial phar...   En   Endpoints compatible   Finance   Model-index   Pytorch   Region:us

Mamba Financial Headline Sentiment Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mamba Financial Headline Sentiment (winddude/mamba_financial_headline_sentiment)
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Mamba Financial Headline Sentiment Parameters and Internals

Model Type 
text classification
Supported Languages 
en (proficient)
Input Output 
Input Format:
prompt = f"""Classify the setiment of the following news headlines as either `positive`, `neutral`, or `negative`. Headline: {headline} Classification:""
Accepted Modalities:
text
Output Format:
1 of 3 labels: positive, neutral, or negative
LLM NameMamba Financial Headline Sentiment
Repository ๐Ÿค—https://huggingface.co/winddude/mamba_financial_headline_sentiment 
Base Model(s)  state-spaces/mamba-2.8b   state-spaces/mamba-2.8b
Model Size2.8b
Required VRAM5.5 GB
Updated2025-08-21
Maintainerwinddude
Model Files  5.5 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length200
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50277

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

Rank the Mamba Financial Headline Sentiment 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 v20241124