Qwen2.5 Microsoft NextCoder Brainstorm20x 12B by DavidAU

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Qwen2.5 Microsoft NextCoder Brainstorm20x 12B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Microsoft NextCoder Brainstorm20x 12B (DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-12B)
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Qwen2.5 Microsoft NextCoder Brainstorm20x 12B Parameters and Internals

LLM NameQwen2.5 Microsoft NextCoder Brainstorm20x 12B
Repository ๐Ÿค—https://huggingface.co/DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-12B 
Base Model(s)  NextCoder 7B   microsoft/NextCoder-7B
Model Size7b
Required VRAM24.1 GB
Updated2025-07-19
MaintainerDavidAU
Model Typeqwen2
Model Files  5.0 GB: 1-of-5   4.9 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.2 GB: 5-of-5
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.52.0.dev0
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 DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-12B.

Rank the Qwen2.5 Microsoft NextCoder Brainstorm20x 12B 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