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Qwen2.5 0.5B by Qwen

 »  All LLMs  »  Qwen  »  Qwen2.5 0.5B   URL Share it on

  2011884   
  Arxiv:2407.10671   Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-0.5B 

Qwen2.5 0.5B Benchmarks

MMLU Pro: 10.06
MUSR: 2.08
BBH: 6.95
IFEval: 16.27 vs 88 (so35)-81.5%
MATH Lvl 5: 3.93
LLME Score: 0.37636
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2.5 0.5B Parameters and Internals

Model Type 
causal language model
Use Cases 
Limitations:
Not recommended for conversations without post-training
Additional Notes 
The base 0.5B Qwen2.5 model requires post-training for certain use cases such as conversations.
Supported Languages 
en (Proficient), zh (Proficient), fr (Proficient), es (Proficient), pt (Proficient), de (Proficient), it (Proficient), ru (Proficient), ja (Proficient), ko (Proficient), vi (Proficient), th (Proficient), ar (Proficient)
Training Details 
Methodology:
Pretraining
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
LLM NameQwen2.5 0.5B
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-0.5B 
Model Size0.5b
Required VRAM1 GB
Updated2025-06-09
MaintainerQwen
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 0.5B (Qwen/Qwen2.5-0.5B)

Quantized Models of the Qwen2.5 0.5B

Model
Likes
Downloads
VRAM
Qwen2.5 0.5B Unsloth Bnb 4bit296010 GB
Qwen2.5 0.5B Bnb 4bit129060 GB
Qwen2.5 0.5B Instruct 4bit413060 GB

Best Alternatives to Qwen2.5 0.5B

Best Alternatives
Context / RAM
Downloads
Likes
Reader Lm 0.5B250K / 1 GB586141
Qwen2 0.5B128K / 1 GB123210147
Qwen2 0.5B Stf Imdb128K / 1 GB300
...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB321
....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
...0.5B FT MUSR ENSEMBLE V2Mathis128K / 1 GB250
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB120
ECE PRYMMAL 0.5B FT V4 MUSR128K / 2 GB130
Qwen2 0.5B128K / 1 GB48063

Rank the Qwen2.5 0.5B Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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