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Gutensuppe Mistral Nemo 12B by nbeerbower

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Gutensuppe Mistral Nemo 12B is an open-source language model by nbeerbower. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.22.

  Merged Model   Arxiv:2403.19522 Base model:nbeerbower/lyra-gut... Base model:nbeerbower/mistral-... Base model:nbeerbower/mistral-...   Conversational   Deploy:azure   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Gutensuppe-mistral-nemo-12B 

Gutensuppe Mistral Nemo 12B Benchmarks

MMLU Pro: 29.78
GPQA: 11.63
MUSR: 14.33
BBH: 35.57
IFEval: 29.16 vs 88 (so35)-66.9%
MATH Lvl 5: 13.29
LLME Score: 0.2155
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gutensuppe Mistral Nemo 12B (nbeerbower/Gutensuppe-mistral-nemo-12B)
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Gutensuppe Mistral Nemo 12B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge of pre-trained language models created using mergekit. The merge method used is the Model Stock merge method. The base model is nbeerbower/mistral-nemo-gutenberg-12B. The configuration used for the merge includes models nbeerbower/Lyra-Gutenberg-mistral-nemo-12B, nbeerbower/mistral-nemo-gutenberg-12B-v4, nbeerbower/mistral-nemo-gutenberg-12B-v3, and nbeerbower/mistral-nemo-gutenberg-12B.
LLM NameGutensuppe Mistral Nemo 12B
Repository 🤗https://huggingface.co/nbeerbower/Gutensuppe-mistral-nemo-12B 
Base Model(s)  Mistral Nemo Gutenberg 12B V3   Mistral Nemo Gutenberg 12B V4   ...yra Gutenberg Mistral Nemo 12B   Mistral Nemo Gutenberg 12B   nbeerbower/mistral-nemo-gutenberg-12B-v3   nbeerbower/mistral-nemo-gutenberg-12B-v4   nbeerbower/Lyra-Gutenberg-mistral-nemo-12B   nbeerbower/mistral-nemo-gutenberg-12B
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2026-03-06
Maintainernbeerbower
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Gutensuppe-mistral-nemo-12B.

Rank the Gutensuppe Mistral Nemo 12B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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