SauerkrautLM Nemo 12B Instruct by VAGOsolutions

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SauerkrautLM Nemo 12B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SauerkrautLM Nemo 12B Instruct Parameters and Internals

LLM NameSauerkrautLM Nemo 12B Instruct
Repository ๐Ÿค—https://huggingface.co/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct 
Model Size12b
Required VRAM24.5 GB
Updated2024-10-18
MaintainerVAGOsolutions
Model Typemistral
Instruction-BasedYes
Model Files  6.0 GB: 1-of-5   6.0 GB: 2-of-5   6.0 GB: 3-of-5   6.0 GB: 4-of-5   0.5 GB: 5-of-5
Supported Languagesde en it fr pt nl ru ar es
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16
SauerkrautLM Nemo 12B Instruct (VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct)

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Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct.

Rank the SauerkrautLM Nemo 12B Instruct 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803