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SauerkrautLM Phi 3 Medium by VAGOsolutions

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SauerkrautLM Phi 3 Medium is an open-source language model by VAGOsolutions. Features: 14b LLM, VRAM: 28GB, Context: 4K, License: mit, LLM Explorer Score: 0.26.

  Conversational   De   Deploy:azure   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/SauerkrautLM-Phi-3-medium 

SauerkrautLM Phi 3 Medium Benchmarks

LLME Score: 0.25584
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 (VAGOsolutions/SauerkrautLM-Phi-3-medium)
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SauerkrautLM Phi 3 Medium Parameters and Internals

Model Type 
Finetuned Model
Supported Languages 
de (Proficient), en (Proficient)
Training Details 
Data Volume:
70,000 samples
Methodology:
QLoRA DPO Fine-Tuning (targeting 50% of the layers)
Training Time:
1 epoch
LLM NameSauerkrautLM Phi 3 Medium
Repository 🤗https://huggingface.co/VAGOsolutions/SauerkrautLM-Phi-3-medium 
Model Size14b
Required VRAM28 GB
Updated2026-05-16
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

Best Alternatives to SauerkrautLM Phi 3 Medium

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Likes
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Wendigo 14B Alpha432K / 28.4 GB12880
Qwen1.5 14B Chat Mistral32K / 28.6 GB164
Mistral 14B Merge Base32K / 28.4 GB2172
Synthetic Minstrel 14B32K / 27.6 GB83
Wandering Minstrel 14B32K / 27.6 GB83
Phi 3 Medium 4K Instruct4K / 28 GB80928
Barcenas 14B Phi 3 Medium ORPO4K / 28 GB82445
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  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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