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QVikhr 2.5 1.5B Instruct SMPO by Vikhrmodels

 »  All LLMs  »  Vikhrmodels  »  QVikhr 2.5 1.5B Instruct SMPO   URL Share it on

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  Arxiv:2405.13929   Autotrain compatible Base model:finetune:vikhrmodel... Base model:vikhrmodels/vikhr-q...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Ru   Safetensors
Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO 

QVikhr 2.5 1.5B Instruct SMPO Benchmarks

LLME Score: 0.24788
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QVikhr 2.5 1.5B Instruct SMPO (Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO)

QVikhr 2.5 1.5B Instruct SMPO Parameters and Internals

LLM NameQVikhr 2.5 1.5B Instruct SMPO
Repository 🤗https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO 
Model NameVikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO
Base Model(s)  Vikhrmodels/Vikhr-Qwen-2.5-1.5B-Instruct   Vikhrmodels/Vikhr-Qwen-2.5-1.5B-Instruct
Model Size1.5b
Required VRAM3.1 GB
Updated2025-06-01
MaintainerVikhrmodels
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesru en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the QVikhr 2.5 1.5B Instruct SMPO

Model
Likes
Downloads
VRAM
....5 1.5B Instruct SMPO MLX 8bit22491 GB
....5 1.5B Instruct SMPO MLX 4bit3140 GB

Best Alternatives to QVikhr 2.5 1.5B Instruct SMPO

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AceInstruct 1.5B128K / 3.5 GB582620
Gte Qwen2 1.5B Instruct128K / 7.1 GB173568218
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... Abliterated TIES Qwen2.5 1.5B128K / 3.5 GB210
Saba1 1.8B128K / 3.6 GB661
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Miniclaus Qw1.5B UNAMGS128K / 3.5 GB258
WiroAI Finance Qwen 1.5B128K / 3.5 GB34419
...pmath Competitive 1.5B Preview128K / 7.1 GB160
Horologium QwenC 1.5B128K / 7.1 GB180
Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO.

Rank the QVikhr 2.5 1.5B Instruct SMPO 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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