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FluentlyQwen2.5 32B by fluently-lm

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Model Card on HF 🤗: https://huggingface.co/fluently/FluentlyQwen2.5-32B 

FluentlyQwen2.5 32B Benchmarks

LLME Score: 0.24438
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FluentlyQwen2.5 32B (fluently/FluentlyQwen2.5-32B)
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FluentlyQwen2.5 32B Parameters and Internals

LLM NameFluentlyQwen2.5 32B
Repository 🤗https://huggingface.co/fluently/FluentlyQwen2.5-32B 
Model Size32b
Required VRAM65.8 GB
Updated2025-09-08
Maintainerfluently-lm
Model Typeqwen2
Model Files  5.0 GB: 1-of-14   5.0 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Supported Languagesen fr es ru zh ja fa code
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than fluently/FluentlyQwen2.5-32B.

Rank the FluentlyQwen2.5 32B 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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