Qwen2.5 0.5B by Qwen

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  Arxiv:2407.10671   Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen2.5-0.5B 

Qwen2.5 0.5B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B (Qwen/Qwen2.5-0.5B)

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 ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-0.5B 
Model Size0.5b
Required VRAM1 GB
Updated2025-02-09
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

Quantized Models of the Qwen2.5 0.5B

Model
Likes
Downloads
VRAM
Qwen2.5 0.5B Bnb 4bit1167040 GB
Qwen2.5 0.5B Instruct 4bit32860 GB

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227