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Vikhr 7B Instruct 0.2 by Vikhrmodels

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  Arxiv:2405.13929   Autotrain compatible   Dataset:dichspace/darulm Dataset:zjkarina/vikhr instruc...   En   Endpoints compatible   Instruct   Llama   Region:us   Ru   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.2 

Vikhr 7B Instruct 0.2 Benchmarks

LLME Score: 0.16753
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vikhr 7B Instruct 0.2 (Vikhrmodels/Vikhr-7B-instruct_0.2)

Vikhr 7B Instruct 0.2 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Supported Languages 
ru (fluent), en (fluent)
Training Details 
Data Sources:
zjkarina/Vikhr_instruct, dichspace/darulm
Input Output 
Accepted Modalities:
text
LLM NameVikhr 7B Instruct 0.2
Repository 🤗https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.2 
Model Size7b
Required VRAM14 GB
Updated2025-03-20
MaintainerVikhrmodels
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.0 GB: 3-of-3
Supported Languagesru en
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size60256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/Vikhr-7B-instruct_0.2.

Rank the Vikhr 7B Instruct 0.2 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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Release v20241227
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