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QVikhr 3 4B Instruction by Vikhrmodels

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QVikhr 3 4B Instruction is an open-source language model by Vikhrmodels. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.21.

  Arxiv:2405.13929   Arxiv:2505.09388 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-4b   Conversational Dataset:vikhrmodels/grandmaste...   En   Endpoints compatible   Instruct   Qwen3   Region:us   Ru   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/QVikhr-3-4B-Instruction 

QVikhr 3 4B Instruction Benchmarks

LLME Score: 0.20607
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QVikhr 3 4B Instruction (Vikhrmodels/QVikhr-3-4B-Instruction)
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QVikhr 3 4B Instruction Parameters and Internals

LLM NameQVikhr 3 4B Instruction
Repository 🤗https://huggingface.co/Vikhrmodels/QVikhr-3-4B-Instruction 
Model NameQVikhr-3-4B-Instruction
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2026-04-13
MaintainerVikhrmodels
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesru en
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/QVikhr-3-4B-Instruction.

Rank the QVikhr 3 4B Instruction 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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