Qwen3 14B QueWhen by bamec66557

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Qwen3 14B QueWhen is an open-source language model by bamec66557. Features: 14b LLM, VRAM: 29.5GB, Context: 40K, Merged, LLM Explorer Score: 0.21.

  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:ba2han/qwen-3-14b-g...   Base model:qwen/qwen3-14b Base model:soob3123/grayline-q...   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow

Qwen3 14B QueWhen Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 14B QueWhen (bamec66557/Qwen3-14B-QueWhen)
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Qwen3 14B QueWhen Parameters and Internals

LLM NameQwen3 14B QueWhen
Repository ๐Ÿค—https://huggingface.co/bamec66557/Qwen3-14B-QueWhen 
Base Model(s)  Ba2han/Qwen-3-14B-Gemini-v0.1   Qwen3 14B   GrayLine Qwen3 14B   Ba2han/Qwen-3-14B-Gemini-v0.1   Qwen/Qwen3-14B   soob3123/GrayLine-Qwen3-14B
Merged ModelYes
Model Size14b
Required VRAM29.5 GB
Updated2025-05-28
Maintainerbamec66557
Model Typeqwen3
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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Note: green Score (e.g. "73.2") means that the model is better than bamec66557/Qwen3-14B-QueWhen.

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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 v20241124