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Janus Orpo 7B by kaist-ai

 »  All LLMs  »  kaist-ai  »  Janus Orpo 7B   URL Share it on

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  Arxiv:2405.17977   Autotrain compatible   Axolotl Base model:finetune:mistral-co... Base model:mistral-community/m...   Conversational Dataset:kaist-ai/multifaceted-...   En   Endpoints compatible   Generated from trainer   Mistral   Orpo   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kaist-ai/janus-orpo-7b 

Janus Orpo 7B Benchmarks

LLME Score: 0.21452
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Janus Orpo 7B (kaist-ai/janus-orpo-7b)

Janus Orpo 7B Parameters and Internals

Model Type 
Language model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Natural Language Processing
Primary Use Cases:
Generating personalized responses that cater to human preferences
Additional Notes 
Janus is particularly skilled at crafting personalized and generally preferred responses, ensuring helpful and harmless interactions.
Supported Languages 
English (High Proficiency)
Training Details 
Data Sources:
kaist-ai/Multifaceted-Collection-ORPO
Methodology:
System message generalization and ORPO on top of Mistral-7B-v0.2
Input Output 
Input Format:
[INST]{system_message}\n{instruction}[/INST]
Accepted Modalities:
Text
Output Format:
Text
Release Notes 
Version:
Janus-ORPO-7B
Notes:
Janus is a model trained using Mistral-7B-v0.2 as its base model. Optimized for generating personalized responses.
LLM NameJanus Orpo 7B
Repository 🤗https://huggingface.co/kaist-ai/janus-orpo-7b 
Base Model(s)  alpindale/Mistral-7B-v0.2-hf   alpindale/Mistral-7B-v0.2-hf
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerkaist-ai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than kaist-ai/janus-orpo-7b.

Rank the Janus Orpo 7B 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 v20241227
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