Remek/Mistral-Nemo-Instruct-2407-PL-finetuned
Remek/Mistral-Nemo-Instruct-2407-PL-finetuned is an experimental 12 billion parameter instruction-tuned language model based on the Mistral-Nemo architecture. It features a 32,768 token context length and is specifically fine-tuned for enhanced performance and willingness to generate text in Polish. This model is designed for applications requiring strong Polish language capabilities.
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Remek/Mistral-Nemo-Instruct-2407-PL-finetuned Overview
This model, Remek/Mistral-Nemo-Instruct-2407-PL-finetuned, is an experimental 12 billion parameter instruction-tuned language model. It is built upon the Mistral-Nemo architecture and has been specifically fine-tuned to improve its proficiency and responsiveness in the Polish language. The model supports a substantial context length of 32,768 tokens.
Key Capabilities
- Enhanced Polish Language Generation: The primary focus of this fine-tuning is to make the model "much more willing to talk in Polish," indicating improved fluency and preference for Polish outputs.
- Instruction Following: As an instruction-tuned model, it is designed to follow user prompts and instructions effectively.
- Large Context Window: With a 32,768 token context length, it can process and generate longer texts while maintaining coherence.
Good For
- Polish Language Applications: Ideal for use cases where strong and natural Polish language generation is critical.
- Experimental Development: Suitable for developers and researchers looking to explore the capabilities of a Mistral-Nemo-based model with a specialized Polish fine-tuning.
Further details and a full model card are anticipated to be released soon by Remek.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.