Term
SauerkrautLM
SauerkrautLM is a German-language LLM family from the German startup VAGOsolutions — fine-tunes based on Llama, Qwen, Mistral, and other open architectures.
SauerkrautLM — explained in more detail
SauerkrautLM is not a separate model architecture but a family of German-optimized fine-tunes built by the German startup VAGOsolutions on top of existing open models. Training combines German data augmentation with translated datasets, often paired with DPO (Direct Preference Optimization). The goal: grammatically and idiomatically clean German without sacrificing the underlying model’s capabilities.
Variants
- SauerkrautLM-v1 (7B, 70B): first generation, standalone line.
- SauerkrautLM-v2-14b-DPO: DPO-tuned variant with improved English while preserving German strength.
- Llama-3-SauerkrautLM-8b/70b-Instruct: fine-tunes on Meta Llama 3.
- SauerkrautLM-Qwen-32b: Qwen 2.5-based, collaboration with Hyperspace.ai.
- SauerkrautLM-Nemo-12b-Instruct: Mistral-Nemo-based with Spectrum Fine-Tuning.
- SauerkrautLM-1.5b: Qwen2-1.5B with Continuous Pre-Training for German.
Context
SauerkrautLM is relevant for applications where German is not just supported but the primary language — government, legal, or customer-dialogue scenarios with data protection requirements that demand local execution. The models are freely available on Hugging Face and can run locally via Ollama, LM Studio, or llama.cpp.
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