bardsai/jaskier-7b-dpo
bardsai/jaskier-7b-dpo is a 7 billion parameter language model developed by bards.ai, fine-tuned from mindy-labs/mindy-7b-v2 (a Mistral7B derivative) using Direct Preference Optimization (DPO). This model is specifically trained on the Intel/orca_dpo_pairs dataset, aiming to enhance conversational quality and alignment. With an 8192-token context length, it is designed for general conversational applications, particularly those benefiting from DPO-tuned responses.
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Jaskier 7b DPO: An Aligned Conversational Model
bardsai/jaskier-7b-dpo is a 7 billion parameter language model developed by bards.ai, built upon the mindy-labs/mindy-7b-v2 architecture, which itself is a downstream version of Mistral7B. This model distinguishes itself through its fine-tuning methodology, utilizing Direct Preference Optimization (DPO) on the Intel/orca_dpo_pairs dataset.
Key Capabilities
- DPO-tuned Responses: Leverages Direct Preference Optimization for improved conversational quality and alignment, aiming for more helpful and harmless outputs.
- Mistral7B Base: Benefits from the strong foundational capabilities of the Mistral7B architecture.
- Conversational AI: Designed for interactive dialogue systems, as demonstrated by its use in a sentiment analysis pipeline example.
- 8192-token Context: Supports processing and generating longer conversational turns.
Good For
- Chatbot Development: Ideal for creating engaging and aligned conversational agents.
- Instruction Following: The DPO tuning on
orca_dpo_pairssuggests improved adherence to user instructions and preferences. - Exploratory AI Applications: While noted as a "work-in-progress," it serves as a valuable model for experimentation and development in conversational AI.
Note: This model is currently a work-in-progress and may not be suitable for production environments without further evaluation.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.