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EMO Ai by Raunak1

 »  All LLMs  »  Raunak1  »  EMO Ai   URL Share it on

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors

EMO Ai Benchmarks

LLME Score: 0.23156
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

EMO Ai Parameters and Internals

LLM NameEMO Ai
Repository 🤗https://huggingface.co/Raunak1/EMO-Ai 
Model Size7b
Required VRAM4.1 GB
Updated2024-09-07
MaintainerRaunak1
Model Typemistral
Instruction-BasedYes
Model Files  4.1 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16
EMO Ai (Raunak1/EMO-Ai)

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Note: green Score (e.g. "73.2") means that the model is better than Raunak1/EMO-Ai.

Rank the EMO Ai 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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