Qwen2.5 7B by Qwen

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  Arxiv:2407.10671   Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen2.5-7B 

Qwen2.5 7B 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 7B (Qwen/Qwen2.5-7B)

Qwen2.5 7B Parameters and Internals

Model Type 
causal language model
Additional Notes 
We do not recommend using base language models for conversations.
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)
Training Details 
Methodology:
Pretraining
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
LLM NameQwen2.5 7B
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-7B 
Model Size7b
Required VRAM15.4 GB
Updated2024-12-21
MaintainerQwen
Model Typeqwen2
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 7B

Model
Likes
Downloads
VRAM
Qwen2.5 7B Bnb 4bit1465915 GB
Qwen2.5 7B Instruct 4bit6108814 GB
Qwen2.5 7B Instruct 8bit31168 GB

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Rank the Qwen2.5 7B Capabilities

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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