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SauerkrautLM Qwen 32B by VAGOsolutions

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  Autotrain compatible   Conversational   De   Dpo   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/SauerkrautLM-Qwen-32b 

SauerkrautLM Qwen 32B Benchmarks

ARC: 58.79 vs 96.7 (so35)-39.2%
HellaSwag: 82.15 vs 95.3 (gpt4)-13.8%
MMLU: 74.19 vs 88.3 (so35)-16%
TruthfulQA: 61.04 vs 59 (gpt4)3.5%
WinoGrande: 81.37 vs 87.5 (gpt4)-7%
GSM8K: 46.78 vs 96.4 (so35)-51.5%
LLME Score: 0.23273
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM Qwen 32B (VAGOsolutions/SauerkrautLM-Qwen-32b)

SauerkrautLM Qwen 32B Parameters and Internals

LLM NameSauerkrautLM Qwen 32B
Repository 🤗https://huggingface.co/VAGOsolutions/SauerkrautLM-Qwen-32b 
Model Size32b
Required VRAM64.6 GB
Updated2025-01-15
MaintainerVAGOsolutions
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.8 GB: 2-of-14   4.8 GB: 3-of-14   4.8 GB: 4-of-14   4.8 GB: 5-of-14   4.8 GB: 6-of-14   4.8 GB: 7-of-14   4.8 GB: 8-of-14   4.8 GB: 9-of-14   4.8 GB: 10-of-14   4.8 GB: 11-of-14   4.8 GB: 12-of-14   4.8 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesde en
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.3
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-Qwen-32b.

Rank the SauerkrautLM Qwen 32B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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