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DPO Mistral 7B Ultrafeedback Binarized Preferences Cleaned by dteome

 »  All LLMs  »  dteome  »  DPO Mistral 7B Ultrafeedback Binarized Preferences Cleaned   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dteome/dpo-mistral-7b-ultrafeedback-binarized-preferences-cleaned 

DPO Mistral 7B Ultrafeedback Binarized Preferences Cleaned Benchmarks

LLME Score: 0.13867
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DPO Mistral 7B Ultrafeedback Binarized Preferences Cleaned (dteome/dpo-mistral-7b-ultrafeedback-binarized-preferences-cleaned)
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DPO Mistral 7B Ultrafeedback Binarized Preferences Cleaned Parameters and Internals

LLM NameDPO Mistral 7B Ultrafeedback Binarized Preferences Cleaned
Repository 🤗https://huggingface.co/dteome/dpo-mistral-7b-ultrafeedback-binarized-preferences-cleaned 
Model Size7b
Required VRAM28.9 GB
Updated2025-09-23
Maintainerdteome
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than dteome/dpo-mistral-7b-ultrafeedback-binarized-preferences-cleaned.

Rank the DPO Mistral 7B Ultrafeedback Binarized Preferences Cleaned 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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Release v20241124
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