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GigaPotato Mistral Nemo 23B by nbeerbower

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  Merged Model   Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/mistral-...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/GigaPotato-Mistral-Nemo-23B 

GigaPotato Mistral Nemo 23B Benchmarks

LLME Score: 0.26503
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GigaPotato Mistral Nemo 23B (nbeerbower/GigaPotato-Mistral-Nemo-23B)

GigaPotato Mistral Nemo 23B Parameters and Internals

LLM NameGigaPotato Mistral Nemo 23B
Repository 🤗https://huggingface.co/nbeerbower/GigaPotato-Mistral-Nemo-23B 
Base Model(s)  Mistral Nemo Kartoffel 12B   nbeerbower/mistral-nemo-kartoffel-12B
Merged ModelYes
Model Size12b
Required VRAM46.7 GB
Updated2025-02-22
Maintainernbeerbower
Model Typemistral
Model Files  4.9 GB: 1-of-10   5.0 GB: 2-of-10   4.9 GB: 3-of-10   5.0 GB: 4-of-10   4.9 GB: 5-of-10   5.0 GB: 6-of-10   4.9 GB: 7-of-10   5.0 GB: 8-of-10   4.9 GB: 9-of-10   2.2 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.48.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/GigaPotato-Mistral-Nemo-23B.

Rank the GigaPotato Mistral Nemo 23B 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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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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