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Qwen3 17B QiMing V1.0 Total Recall Medium by DavidAU

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Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium 

Qwen3 17B QiMing V1.0 Total Recall Medium Benchmarks

LLME Score: 0.26395
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 17B QiMing V1.0 Total Recall Medium (DavidAU/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium)
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Qwen3 17B QiMing V1.0 Total Recall Medium Parameters and Internals

LLM NameQwen3 17B QiMing V1.0 Total Recall Medium
Repository 🤗https://huggingface.co/DavidAU/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium 
Base Model(s)  aifeifei798/QiMing-v1.0-14B   aifeifei798/QiMing-v1.0-14B
Model Size14b
Required VRAM34.2 GB
Updated2025-09-05
MaintainerDavidAU
Model Typeqwen3
Model Files  5.0 GB: 1-of-7   4.9 GB: 2-of-7   5.0 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   5.0 GB: 6-of-7   4.4 GB: 7-of-7
Supported Languagesen fr zh de
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.55.0
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 DavidAU/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.

Rank the Qwen3 17B QiMing V1.0 Total Recall Medium 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.
Release v20241124
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