NickyNicky/gemma-2b-it_oasst2_Cluster_2_aya_dataset_multilingual_chatml_response_json_V1

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:2.6BQuant:BF16Ctx Length:8kLicense:apache-2.0Architecture:Transformer Open Weights Warm

NickyNicky/gemma-2b-it_oasst2_Cluster_2_aya_dataset_multilingual_chatml_response_json_V1 is a fine-tuned Gemma 2B instruction-tuned model developed by NickyNicky. This model is specialized in generating JSON responses for multilingual chat interactions, supporting 20+ languages including English, Spanish, French, and German. It is designed to provide structured outputs based on specified input and target languages, making it suitable for applications requiring controlled, multilingual JSON output.

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Model Overview

NickyNicky/gemma-2b-it_oasst2_Cluster_2_aya_dataset_multilingual_chatml_response_json_V1 is a specialized language model built upon Google's Gemma 2B instruction-tuned architecture. Developed by NickyNicky, this model has been fine-tuned using a combination of the oasst2_clusters and aya_dataset_multilingual_chatml_gemma_response_json datasets, specifically for generating structured JSON responses in a multilingual context.

Key Capabilities

  • Multilingual JSON Response Generation: Excels at producing JSON outputs based on user prompts, with explicit support for language codes like "es", "en", "fr", "de", and many others (20+ languages in total).
  • Instruction Following: Designed to adhere to system instructions, such as responding strictly in JSON format and handling specified input/target languages.
  • ChatML Format: Utilizes the ChatML format for turn-based conversations, making it compatible with common chat interfaces.

Good For

  • Multilingual Chatbots: Ideal for creating chatbots that need to interact in multiple languages and provide structured, machine-readable responses.
  • Automated Translation Services: Can be adapted for tasks requiring translation outputs embedded within a JSON structure.
  • Structured Data Extraction: Useful in scenarios where specific information needs to be extracted from text and presented in a consistent JSON format across different languages.
  • Developers requiring controlled output: Provides a reliable way to ensure model responses conform to a JSON schema, simplifying integration into applications.

Finetunes
2 models