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QiMing Me by aifeifei798

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  Bagua   Chat   Cognitive-architecture   Conversational   Decision-making   En   Lora   Philosophy-driven-ai   Qiming   Qiming-holos   Qwen   Qwen3   Region:us   Safetensors   Sharded   Strategic-analysis   Tensorflow   Unsloth   Zh
Model Card on HF 🤗: https://huggingface.co/aifeifei798/QiMing-Me 

QiMing Me Benchmarks

LLME Score: 0.27686
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QiMing Me (aifeifei798/QiMing-Me)
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QiMing Me Parameters and Internals

LLM NameQiMing Me
Repository 🤗https://huggingface.co/aifeifei798/QiMing-Me 
Model Size14.8b
Required VRAM29.2 GB
Updated2025-09-05
Maintaineraifeifei798
Model Typeqwen3
Model Files  1.6 GB: 1-of-32   1.0 GB: 2-of-32   0.8 GB: 3-of-32   1.0 GB: 4-of-32   0.8 GB: 5-of-32   0.8 GB: 6-of-32   1.0 GB: 7-of-32   0.8 GB: 8-of-32   0.8 GB: 9-of-32   1.0 GB: 10-of-32   0.8 GB: 11-of-32   0.8 GB: 12-of-32   1.0 GB: 13-of-32   0.8 GB: 14-of-32   0.8 GB: 15-of-32   1.0 GB: 16-of-32   0.8 GB: 17-of-32   0.8 GB: 18-of-32   1.0 GB: 19-of-32   0.8 GB: 20-of-32   0.8 GB: 21-of-32   1.0 GB: 22-of-32   0.8 GB: 23-of-32   0.8 GB: 24-of-32   1.0 GB: 25-of-32   0.8 GB: 26-of-32   0.8 GB: 27-of-32   1.0 GB: 28-of-32   0.8 GB: 29-of-32   0.8 GB: 30-of-32   1.6 GB: 31-of-32   0.8 GB: 32-of-32
Supported Languageszh en
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.55.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to QiMing Me

Best Alternatives
Context / RAM
Downloads
Likes
Dhanishtha Nsfw40K / 29.5 GB76521
QiMing Janus40K / 29.2 GB630
Dhanishtha 2.0 Preview 082540K / 29.5 GB3018
QiMing Janus Rhapsody40K / 29.2 GB400
Merged16 Qwen Grpo 340K / 29.5 GB240
Merged16 Qwen Grpo 240K / 29.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than aifeifei798/QiMing-Me.

Rank the QiMing Me Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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