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janus-7b

kaist-ai

Janus is a model trained using Mistral-7B-v0.2 as its base model. Janus has been trained on Multifaceted Collection, a preference dataset containing 196k unique system messages for aligning LLMs to diverse human preferences. Janus not only excels at generating personalized responses that cater to various human preferences but is also adept at producing responses that are generally preferred for being helpful and harmless. Janus-7B is a model created by supervised fine-tuning using all 196k entries of the training data from the Multifaceted-Collection. Janus is a model generalized for various system messages, allowing users to control the model's response by inputting the desired system message. The input prompt format is as follows:

Text generation

Input Text→ Output Text

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janus-dpo-7b

kaist-ai

Janus is a model trained using Mistral-7B-v0.2 as its base model. Janus has been trained on Multifaceted Collection, a preference dataset containing 196k unique system messages for aligning LLMs to diverse human preferences. Janus not only excels at generating personalized responses that cater to various human preferences but is also adept at producing responses that are generally preferred for being helpful and harmless. Janus is a model generalized for various system messages, allowing users to control the model's response by inputting the desired system message. The input prompt format is as follows: To train Janus and evaluate the responses it generates, please refer to the GitHub Repo. Additionally, refer to the Multifaceted Bench, which evaluates how well LLM generates personalized responses.

Text generation

Input Text→ Output Text

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janus-orpo-7b

kaist-ai

Janus is a model trained using Mistral-7B-v0.2 as its base model. Janus has been trained on Multifaceted Collection, a preference dataset containing 196k unique system messages for aligning LLMs to diverse human preferences. Janus not only excels at generating personalized responses that cater to various human preferences but is also adept at producing responses that are generally preferred for being helpful and harmless. Janus-ORPO-7B is a model created by applying ORPO to Mistral-7B-v0.2 using the Multifaceted-Collection-ORPO. Janus is a model generalized for various system messages, allowing users to control the model's response by inputting the desired system message. The input prompt format is as follows:

Text generation

Input Text→ Output Text

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mistral-orpo-capybara-7k

kaist-ai

**Mistral-ORPO** is a fine-tuned version of mistralai/Mistral-7B-v0.1 using the *odds ratio preference optimization (ORPO)*. With ORPO, the model directly learns the preference without the supervised fine-tuning warmup phase. **Mistral-ORPO-ORPO-Capybara-7k** is fine-tuned for **2.5 hours on four A100s** exclusively on the **7k** instances of the distilled Capybara paired multi-turn conversation dataset, argilla/distilabel-capybara-dpo-7k-binarized, by Argilla.

Text generation

Input Text→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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Explore AI models 4

janus-7b

janus-dpo-7b

janus-orpo-7b

mistral-orpo-capybara-7k

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