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Qwen2.5 1.5B Instruct by Qwen

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Qwen2.5 1.5B Instruct is an open-source language model by Qwen. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.39.

  Arxiv:2407.10671 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-1.5b   Chat   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct 

Qwen2.5 1.5B Instruct Benchmarks

LLME Score: 0.3908
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Instruct (Qwen/Qwen2.5-1.5B-Instruct)
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Qwen2.5 1.5B Instruct Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Areas:
Chat applications, Multilingual text generation
Applications:
Role-play chatbots, Long text generation
Primary Use Cases:
Coding, Mathematics
Limitations:
Limited understanding of unsupported languages
Supported Languages 
English (High), Chinese (High), French (Medium), Spanish (Medium), Portuguese (Medium), German (Medium), Italian (Medium), Russian (Medium), Japanese (Medium), Korean (Medium), Vietnamese (Medium), Thai (Medium), Arabic (Medium)
Training Details 
Methodology:
Pretraining & Post-training
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Input Output 
Input Format:
Chat template with system and user roles
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use the latest `transformers` library for optimal performance.
LLM NameQwen2.5 1.5B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct 
Base Model(s)  Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2026-05-23
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 1.5B Instruct

Model
Likes
Downloads
VRAM
Qwen2.5 1.5B Instruct AWQ67472901 GB
...1.5B Instruct Unsloth Bnb 4bit5701181 GB
Qwen2.5 1.5B Instruct Bnb 4bit5344261 GB
Qwen2.5 Sex15532803 GB
...wen2.5 1.5B Instruct GPTQ Int4313861 GB
Athena 1 1.5B183 GB
Athena 1 1.5B153 GB
Q25 1.5B VeoLu903 GB
...wen2.5 1.5B Instruct GPTQ Int863111 GB

Best Alternatives to Qwen2.5 1.5B Instruct

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Context / RAM
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Likes
Gte Qwen2 1.5B Instruct128K / 7.1 GB344745231
AceInstruct 1.5B128K / 3.5 GB90121
... Abliterated TIES Qwen2.5 1.5B128K / 3.5 GB90
Saba1 1.8B128K / 3.6 GB31
Miniclaus Qw1.5B UNAMGS128K / 3.5 GB118
Bellatrix 1.5B XElite128K / 3.5 GB163
GCIRS Reasoning 1.5B R1128K / 3.5 GB311
...illed Scout 1.5B Instruct Gen1128K / 3.5 GB60
...pmath Competitive 1.5B Preview128K / 7.1 GB100
Deepthink 1.5B Open PRM128K / 7.1 GB50

Rank the Qwen2.5 1.5B Instruct 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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