Mistral 7B SlimOrca Eng Kor Combined by MNCJihun

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  32bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded

Mistral 7B SlimOrca Eng Kor Combined Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mistral 7B SlimOrca Eng Kor Combined Parameters and Internals

LLM NameMistral 7B SlimOrca Eng Kor Combined
Repository ๐Ÿค—https://huggingface.co/MNCJihun/Mistral-7B-SlimOrca-eng-kor-combined 
Model Size7b
Required VRAM14.4 GB
Updated2025-06-09
MaintainerMNCJihun
Model Typellama
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Quantization Type32bit
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32002
Torch Data Typebfloat16
Mistral 7B SlimOrca Eng Kor Combined (MNCJihun/Mistral-7B-SlimOrca-eng-kor-combined)

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Note: green Score (e.g. "73.2") means that the model is better than MNCJihun/Mistral-7B-SlimOrca-eng-kor-combined.

Rank the Mistral 7B SlimOrca Eng Kor Combined 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