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Qwen IronMan by choah

 »  All LLMs  »  choah  »  Qwen IronMan   URL Share it on

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  Autotrain compatible   Endpoints compatible   Instruct   Ironman   Ko   Qwen2   Region:us   Rolp   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/choah/Qwen-IronMan 

Qwen IronMan Benchmarks

LLME Score: 0.19871
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen IronMan (choah/Qwen-IronMan)

Qwen IronMan Parameters and Internals

Model Type 
text2text-generation
Use Cases 
Areas:
Ironman role-playing, language models
Applications:
entertainment, research, educational purposes
Primary Use Cases:
role-playing as Ironman character
Additional Notes 
Specifically designed for Korean language role-playing use cases.
Supported Languages 
ko (fluent)
Training Details 
Data Sources:
google sheet
Methodology:
fine-tuned specifically for Ironman role-playing scenarios
Context Length:
131072
Input Output 
Accepted Modalities:
text
LLM NameQwen IronMan
Repository 🤗https://huggingface.co/choah/Qwen-IronMan 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintainerchoah
Model Typeqwen2
Instruction-BasedYes
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
Supported Languagesko
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than choah/Qwen-IronMan.

Rank the Qwen IronMan 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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Release v20241227
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