Mamba QA ITA 790M by DeepMount00

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  Endpoints compatible   Instruct   It   Italian   Mamba   Pytorch   Q&a   Question answering   Region:us   Safetensors

Mamba QA ITA 790M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mamba QA ITA 790M (DeepMount00/Mamba-QA-ITA-790m)

Mamba QA ITA 790M Parameters and Internals

Model Type 
question-answering, text-generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Question answering systems, Text-based chatbots
Primary Use Cases:
Complex question answering, Information retrieval in limited context
Supported Languages 
Italian (fluent)
LLM NameMamba QA ITA 790M
Repository ๐Ÿค—https://huggingface.co/DeepMount00/Mamba-QA-ITA-790m 
Model Size790m
Required VRAM1.6 GB
Updated2025-02-22
MaintainerDeepMount00
Model Files  1.6 GB   1.6 GB
Supported Languagesit
Model ArchitectureAutoModel
Licensemit
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50277

Rank the Mamba QA ITA 790M 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