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Vikhr 7B Instruct 0.3 by Vikhrmodels

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  Autotrain compatible   Conversational   Dataset:dichspace/darulm   Dataset:vikhrmodels/veles-2.5 Dataset:zjkarina/vikhr instruc...   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.3 

Vikhr 7B Instruct 0.3 Benchmarks

LLME Score: 0.15216
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 0.3 (Vikhrmodels/Vikhr-7B-instruct_0.3)
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Vikhr 7B Instruct 0.3 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Currently under development, fastest start-up instructions provided.
Training Details 
Data Sources:
Vikhrmodels/Veles-2.5, dichspace/darulm, zjkarina/Vikhr_instruct
Methodology:
CHATML, SFT
LLM NameVikhr 7B Instruct 0.3
Repository 🤗https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.3 
Model Size7b
Required VRAM14.6 GB
Updated2025-07-30
MaintainerVikhrmodels
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.8 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size40002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/Vikhr-7B-instruct_0.3.

Rank the Vikhr 7B Instruct 0.3 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 v20241124
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