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Austral Xgen 9B Winton by Delta-Vector

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Model Card on HF 🤗: https://huggingface.co/Delta-Vector/Austral-Xgen-9B-Winton 

Austral Xgen 9B Winton Benchmarks

LLME Score: 0.25513
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Austral Xgen 9B Winton (Delta-Vector/Austral-Xgen-9B-Winton)
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Austral Xgen 9B Winton Parameters and Internals

LLM NameAustral Xgen 9B Winton
Repository 🤗https://huggingface.co/Delta-Vector/Austral-Xgen-9B-Winton 
Base Model(s)  DDelta-Vector/Austral-Xgen-9B-Base   DDelta-Vector/Austral-Xgen-9B-Base
Model Size9b
Required VRAM21.3 GB
Updated2025-06-22
MaintainerDelta-Vector
Model Typellama
Model Files  5.0 GB: 1-of-5   4.9 GB: 2-of-5   5.0 GB: 3-of-5   4.9 GB: 4-of-5   1.5 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Delta-Vector/Austral-Xgen-9B-Winton.

Rank the Austral Xgen 9B Winton Capabilities

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Instruction Following and Task Automation  
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