QVikhr 3 1.7B Instruction Noreasoning by Vikhrmodels

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QVikhr 3 1.7B Instruction Noreasoning is an open-source language model by Vikhrmodels. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

  Arxiv:2405.13929   Arxiv:2505.09388 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-1.7b   Conversational Dataset:vikhrmodels/grandmaste...   En   Endpoints compatible   Instruct   Qwen3   Region:us   Ru   Safetensors

QVikhr 3 1.7B Instruction Noreasoning Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

QVikhr 3 1.7B Instruction Noreasoning Parameters and Internals

LLM NameQVikhr 3 1.7B Instruction Noreasoning
Repository 🤗https://huggingface.co/Vikhrmodels/QVikhr-3-1.7B-Instruction-noreasoning 
Model NameQVikhr-3-1.7B-Instruction-noreasoning
Base Model(s)  Qwen/Qwen3-1.7B   Qwen/Qwen3-1.7B
Model Size1.7b
Required VRAM3.4 GB
Updated2026-05-27
MaintainerVikhrmodels
Model Typeqwen3
Instruction-BasedYes
Model Files  3.4 GB   0.0 GB
Supported Languagesru en
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/QVikhr-3-1.7B-Instruction-noreasoning.

Rank the QVikhr 3 1.7B Instruction Noreasoning 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 v20260328a