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Qwen2 1.5B by vicky4s4s

 »  All LLMs  »  vicky4s4s  »  Qwen2 1.5B   URL Share it on

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  Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/vicky4s4s/Qwen2-1.5B 

Qwen2 1.5B Benchmarks

LLME Score: 0.19544
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B (vicky4s4s/Qwen2-1.5B)

Qwen2 1.5B Parameters and Internals

Model Type 
text generation, chat
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
language understanding, language generation, multilingual capability, coding, mathematics, reasoning
Supported Languages 
en (English)
Training Details 
Methodology:
Pretrained with large scale data, then post-trained with supervised fine-tuning and direct preference optimization
Model Architecture:
Transformer with SwiGLU activation, attention QKV bias, group query attention
Input Output 
Accepted Modalities:
text
LLM NameQwen2 1.5B
Repository 🤗https://huggingface.co/vicky4s4s/Qwen2-1.5B 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-02-22
Maintainervicky4s4s
Model Typeqwen2
Model Files  3.1 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

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Stella En 1.5B V5128K / 6.2 GB581890211
Note: green Score (e.g. "73.2") means that the model is better than vicky4s4s/Qwen2-1.5B.

Rank the Qwen2 1.5B 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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Release v20241227
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