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SauerkrautLM V2 14B SFT by VAGOsolutions

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Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-SFT 

SauerkrautLM V2 14B SFT Benchmarks

MMLU Pro: 46.73
GPQA: 11.41
MUSR: 11.07
BBH: 45.82
IFEval: 69.64 vs 88 (so35)-20.9%
MATH Lvl 5: 29.23
LLME Score: 0.36909
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM V2 14B SFT (VAGOsolutions/SauerkrautLM-v2-14b-SFT)

SauerkrautLM V2 14B SFT Parameters and Internals

LLM NameSauerkrautLM V2 14B SFT
Repository 🤗https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-SFT 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.7 GB
Updated2025-02-05
MaintainerVAGOsolutions
Model Typeqwen2
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesde en it fr pt nl ar es
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.2
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 VAGOsolutions/SauerkrautLM-v2-14b-SFT.

Rank the SauerkrautLM V2 14B SFT Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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