Qwen2.5 3B by Qwen

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  Arxiv:2407.10671   Conversational   En   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen2.5-3B 

Qwen2.5 3B 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 3B (Qwen/Qwen2.5-3B)

Qwen2.5 3B Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
We do not recommend using base language models for conversations; instead, apply post-training like SFT, RLHF, etc.
Supported Languages 
English (proficient), Chinese (proficient), French (proficient), Spanish (proficient), Portuguese (proficient), German (proficient), Italian (proficient), Russian (proficient), Japanese (proficient), Korean (proficient), Vietnamese (proficient), Thai (proficient), Arabic (proficient), Other (proficient in additional languages totaling over 29)
Training Details 
Methodology:
Pretraining
Context Length:
32768
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
LLM NameQwen2.5 3B
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-3B 
Model Size3b
Required VRAM6.2 GB
Updated2024-12-21
MaintainerQwen
Model Typeqwen2
Model Files  4.0 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.1
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 Qwen/Qwen2.5-3B.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217