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Vikhr 7B Instruct 0.4 by Vikhrmodels

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  103137   
  Arxiv:2405.13929   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Ru   Safetensors   Sharded   Tensorflow

Vikhr 7B Instruct 0.4 Benchmarks

LLME Score: 0.27964
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 0.4 Parameters and Internals

LLM NameVikhr 7B Instruct 0.4
Repository 🤗https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.4 
Model Size7b
Required VRAM15.2 GB
Updated2024-10-18
MaintainerVikhrmodels
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.7 GB: 3-of-4   0.6 GB: 4-of-4
Supported Languagesru en
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size79099
Torch Data Typebfloat16
Vikhr 7B Instruct 0.4 (Vikhrmodels/Vikhr-7B-instruct_0.4)

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Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/Vikhr-7B-instruct_0.4.

Rank the Vikhr 7B Instruct 0.4 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
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