galahad-mamad/GambronAI-Persian

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 10, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

GambronAI-Persian is a 7.6 billion parameter instruction-tuned causal language model developed by galahad-mamad, based on the Qwen2.5-7B-Instruct architecture. Fine-tuned specifically for the Persian language, it features a context length of 32768 tokens. This model is optimized for generating text in Persian, making it suitable for applications requiring high-quality, culturally relevant content in that language.

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GambronAI-Persian: A Specialized Persian LLM

GambronAI-Persian is a 7.6 billion parameter large language model developed by galahad-mamad, building upon the robust Qwen2.5-7B-Instruct architecture. This model is uniquely fine-tuned for the Persian language, making it a powerful tool for various Persian-centric natural language processing tasks. It boasts a substantial context length of 32768 tokens, allowing for processing and generating longer, more coherent texts.

Key Capabilities

  • Persian Language Proficiency: Specifically optimized for understanding and generating high-quality text in Persian.
  • Instruction Following: Benefits from the instruction-tuned base model, enabling it to follow complex commands and generate relevant responses.
  • Extended Context: A 32768-token context window supports detailed conversations and document processing.

Good For

  • Content Generation: Creating articles, stories, or marketing copy in Persian.
  • Chatbots and Virtual Assistants: Developing conversational AI systems that interact naturally in Persian.
  • Translation and Localization: Enhancing tools for Persian language translation and adapting content for Persian-speaking audiences.
  • Research and Development: Exploring advanced NLP applications focused on the Persian language.

Finetunes
3 models