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Krutrim 2 Instruct by krutrim-ai-labs

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  As   Bn   En   Gu   Hi   Instruct   Kn   Krutrim   Language-model   Mistral   Ml   Mr   Pa   Pytorch   Region:us   Sharded   Ta   Te
Model Card on HF 🤗: https://huggingface.co/krutrim-ai-labs/Krutrim-2-instruct 

Krutrim 2 Instruct Benchmarks

LLME Score: 0.32368
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Krutrim 2 Instruct (krutrim-ai-labs/Krutrim-2-instruct)

Krutrim 2 Instruct Parameters and Internals

LLM NameKrutrim 2 Instruct
Repository 🤗https://huggingface.co/krutrim-ai-labs/Krutrim-2-instruct 
Required VRAM49.3 GB
Updated2025-02-05
Maintainerkrutrim-ai-labs
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-10   4.7 GB: 2-of-10   5.0 GB: 3-of-10   4.9 GB: 4-of-10   5.0 GB: 5-of-10   4.9 GB: 6-of-10   5.0 GB: 7-of-10   4.9 GB: 8-of-10   5.0 GB: 9-of-10   4.9 GB: 10-of-10
Supported Languagesen hi bn mr te ta kn ml gu as pa
Model ArchitectureMistralForCausalLM
Licenseother
Context Length1024000
Model Max Length1024000
Transformers Version4.48.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Rank the Krutrim 2 Instruct 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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