Mistral Nemo Multilingual Constitutional AI SFT by pbevan11

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  Alignment-handbook   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational Dataset:pbevan11/multilingual-... Dataset:pbevan11/ultrafeedback...   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Mistral Nemo Multilingual Constitutional AI SFT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Multilingual Constitutional AI SFT (pbevan11/Mistral-Nemo-Multilingual-Constitutional-AI-SFT)

Mistral Nemo Multilingual Constitutional AI SFT Parameters and Internals

LLM NameMistral Nemo Multilingual Constitutional AI SFT
Repository ๐Ÿค—https://huggingface.co/pbevan11/Mistral-Nemo-Multilingual-Constitutional-AI-SFT 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12.2b
Required VRAM24.5 GB
Updated2024-09-30
Maintainerpbevan11
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   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token</s>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than pbevan11/Mistral-Nemo-Multilingual-Constitutional-AI-SFT.

Rank the Mistral Nemo Multilingual Constitutional AI SFT 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  
Code Generation  
Multi-Language Support and Translation  

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