tawkeed-sa/tawkeed-gpt

TEXT GENERATIONConcurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 17, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Tawkeed-sa/tawkeed-gpt is Tawkeed's Arabic-first general assistant, utilizing an unchanged server-side copy of the Qwen3.6-35B-A3B-NVFP4 weights. This model is designed to produce final answers locally without external retrieval, prioritizing privacy and ensuring Arabic questions receive Arabic answers while preserving technical terminology. It excels in direct-answer mode, validated for local-answer contracts and specific Arabic general-answer cases.

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Tawkeed GPT Overview

Tawkeed GPT is Tawkeed's dedicated Arabic-first general assistant, built to provide direct, local answers without relying on external tools or retrieval paths. It is designed to handle Arabic questions with Arabic responses, maintaining accuracy in both Arabic and English technical terminology.

Key Characteristics

  • Arabic-First Design: Optimized for processing and responding to queries primarily in Arabic.
  • Privacy-Focused: Operates by producing final answers locally, ensuring no external data flow or reliance on external knowledge sources unless explicitly provided in the conversation.
  • Underlying Architecture: Leverages an unchanged server-side copy of the unsloth/Qwen3.6-35B-A3B-NVFP4 weights, with the Tawkeed GPT role defined by a separate serving script rather than a fine-tune embedded in the checkpoint.
  • Validated Performance: Successfully passed offline local-answer contracts and specific Arabic/general-answer cases on DGX Spark NVFP4, demonstrating reliable direct-answer capabilities.

When to Use This Model

  • For applications requiring a private, self-contained Arabic general assistant.
  • When data privacy and local processing are critical requirements.
  • For scenarios demanding accurate Arabic responses while preserving technical terms.
  • As an integration check within the Tawkeed ecosystem, particularly with DGX Spark environments.