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SauerkrautLM Phi 3 Medium by VAGOsolutions

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  Autotrain compatible   Conversational   De   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

SauerkrautLM Phi 3 Medium Benchmarks

MMLU Pro: 40.72
GPQA: 11.3
MUSR: 20.7
BBH: 49.63
IFEval: 44.09 vs 88 (so35)-49.9%
MATH Lvl 5: 14.12
LLME Score: 0.35546
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SauerkrautLM Phi 3 Medium Parameters and Internals

LLM NameSauerkrautLM Phi 3 Medium
Repository 🤗https://huggingface.co/VAGOsolutions/SauerkrautLM-Phi-3-medium 
Model Size14b
Required VRAM28 GB
Updated2024-10-18
MaintainerVAGOsolutions
Model Typemistral
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   3.2 GB: 6-of-6
Supported Languagesde en
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16
SauerkrautLM Phi 3 Medium (VAGOsolutions/SauerkrautLM-Phi-3-medium)

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Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/SauerkrautLM-Phi-3-medium.

Rank the SauerkrautLM Phi 3 Medium Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072803
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