Mistral 7B Instruct Uz by behbudiy

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Dataset:allenai/c4 Dataset:behbudiy/alpaca-cleane... Dataset:behbudiy/translation-i... Dataset:mldatascientist/wikipe...   Dataset:tahrirchi/uz-crawl   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us   Sharded   Summarization   Translation   Uz

Mistral 7B Instruct Uz Benchmarks

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

Mistral 7B Instruct Uz Parameters and Internals

LLM NameMistral 7B Instruct Uz
Repository ๐Ÿค—https://huggingface.co/behbudiy/Mistral-7B-Instruct-Uz 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM14.5 GB
Updated2024-10-18
Maintainerbehbudiy
Instruction-BasedYes
Model Files  14.5 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesuz en
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Mistral 7B Instruct Uz (behbudiy/Mistral-7B-Instruct-Uz)

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Note: green Score (e.g. "73.2") means that the model is better than behbudiy/Mistral-7B-Instruct-Uz.

Rank the Mistral 7B Instruct Uz 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 v2024072803