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Orpo Mistral 7B V0.3 by MuntasirHossain

 »  All LLMs  »  MuntasirHossain  »  Orpo Mistral 7B V0.3   URL Share it on

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  Autotrain compatible   Conversational Dataset:mlabonne/orpo-dpo-mix-...   En   Endpoints compatible   Mistral   Mistral-7b-v0.3   Orpo   Region:us   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MuntasirHossain/Orpo-Mistral-7B-v0.3 

Orpo Mistral 7B V0.3 Benchmarks

LLME Score: 0.18804
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orpo Mistral 7B V0.3 (MuntasirHossain/Orpo-Mistral-7B-v0.3)

Orpo Mistral 7B V0.3 Parameters and Internals

Model Type 
text generation
Additional Notes 
This model uses Odds Ratio Policy Optimization (ORPO), combining supervised fine-tuning and preference alignment into a single process.
Training Details 
Data Sources:
mlabonne/orpo-dpo-mix-40k
Methodology:
Odds Ratio Policy Optimization (ORPO)
Input Output 
Input Format:
ChatML chat template
Accepted Modalities:
text
Output Format:
text
LLM NameOrpo Mistral 7B V0.3
Repository 🤗https://huggingface.co/MuntasirHossain/Orpo-Mistral-7B-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerMuntasirHossain
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32770
Torch Data Typefloat16

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...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB563316
Hebrew Mistral 7B 200K256K / 30 GB1461915
Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than MuntasirHossain/Orpo-Mistral-7B-v0.3.

Rank the Orpo Mistral 7B V0.3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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