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MS3.2 Austral Winton by Delta-Vector

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Model Card on HF 🤗: https://huggingface.co/Delta-Vector/MS3.2-Austral-Winton 

MS3.2 Austral Winton Benchmarks

LLME Score: 0.30873
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MS3.2 Austral Winton (Delta-Vector/MS3.2-Austral-Winton)
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MS3.2 Austral Winton Parameters and Internals

LLM NameMS3.2 Austral Winton
Repository 🤗https://huggingface.co/Delta-Vector/MS3.2-Austral-Winton 
Base Model(s)  Delta-Vector/MS3.2-Austral-24B-KTO   Delta-Vector/MS3.2-Austral-24B-KTO
Model Size24b
Required VRAM47.3 GB
Updated2025-07-10
MaintainerDelta-Vector
Model Typemistral
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Delta-Vector/MS3.2-Austral-Winton.

Rank the MS3.2 Austral Winton 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  
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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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