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SauerkrautLM 7B HerO GPTQ by TheBloke

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  4-bit   Augmentation   Autotrain compatible Base model:quantized:vagosolut... Base model:vagosolutions/sauer...   Chatml   Conversational   De   En   Finetuned   German   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/SauerkrautLM-7B-HerO-GPTQ 

SauerkrautLM 7B HerO GPTQ Benchmarks

LLME Score: 0.12409
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM 7B HerO GPTQ (TheBloke/SauerkrautLM-7B-HerO-GPTQ)
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SauerkrautLM 7B HerO GPTQ Parameters and Internals

LLM NameSauerkrautLM 7B HerO GPTQ
Repository 🤗https://huggingface.co/TheBloke/SauerkrautLM-7B-HerO-GPTQ 
Model NameSauerkrautLM 7B HerO
Model CreatorVAGO solutions
Base Model(s)  SauerkrautLM 7B HerO   VAGOsolutions/SauerkrautLM-7b-HerO
Model Size7b
Required VRAM4.2 GB
Updated2025-09-08
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen de
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-7B-HerO-GPTQ.

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