Qwen 2.5 Omni ThinkerTextModel by AlexHung29629

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Qwen 2.5 Omni ThinkerTextModel is an open-source language model by AlexHung29629. Features: 7.6b LLM, VRAM: 15.2GB, Context: 32K, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Custom code   Qwen2 5 omni text   Region:us   Safetensors   Sharded   Tensorflow

Qwen 2.5 Omni ThinkerTextModel Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 2.5 Omni ThinkerTextModel (AlexHung29629/Qwen-2.5-Omni-ThinkerTextModel)
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Qwen 2.5 Omni ThinkerTextModel Parameters and Internals

LLM NameQwen 2.5 Omni ThinkerTextModel
Repository ๐Ÿค—https://huggingface.co/AlexHung29629/Qwen-2.5-Omni-ThinkerTextModel 
Model Size7.6b
Required VRAM15.2 GB
Updated2025-11-05
MaintainerAlexHung29629
Model Typeqwen2_5_omni_text
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2_5OmniThinkerForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.52.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Rank the Qwen 2.5 Omni ThinkerTextModel 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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a