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Mistral Nemo Instruct MCAI SFT by pbevan11

 »  All LLMs  »  pbevan11  »  Mistral Nemo Instruct MCAI SFT   URL Share it on

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  Alignment-handbook   Autotrain compatible Base model:finetune:natong19/m... Base model:natong19/mistral-ne...   Conversational Dataset:pbevan11/multilingual-... Dataset:pbevan11/ultrafeedback...   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/pbevan11/Mistral-Nemo-Instruct-MCAI-SFT 

Mistral Nemo Instruct MCAI SFT Benchmarks

LLME Score: 0.20537
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Instruct MCAI SFT (pbevan11/Mistral-Nemo-Instruct-MCAI-SFT)

Mistral Nemo Instruct MCAI SFT Parameters and Internals

Model Type 
alignment-handbook, trl, sft, generated_from_trainer, trl, sft, generated_from_trainer
Additional Notes 
More information needed for model description, intended uses, limitations, and training and evaluation data.
Training Details 
Data Sources:
pbevan11/multilingual-constitutional-preference-pairs, pbevan11/ultrafeedback_binarized_multilingual
LLM NameMistral Nemo Instruct MCAI SFT
Repository 🤗https://huggingface.co/pbevan11/Mistral-Nemo-Instruct-MCAI-SFT 
Base Model(s)  ...Nemo Instruct 2407 Abliterated   natong19/Mistral-Nemo-Instruct-2407-abliterated
Model Size12.2b
Required VRAM24.5 GB
Updated2024-09-30
Maintainerpbevan11
Model Typemistral
Instruction-BasedYes
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<pad>
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-Instruct-MCAI-SFT.

Rank the Mistral Nemo Instruct MCAI 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
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