contextboxai/vi-humanizer-gemma-4-e2b

VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 18, 2026License:gemmaArchitecture:Transformer0.0K Featherless Exclusive Cold

The contextboxai/vi-humanizer-gemma-4-e2b is a 5.1 billion parameter language model built on Gemma 4 E2B, designed to produce highly natural and culturally appropriate Vietnamese text. It excels at tasks requiring native-like Vietnamese expression, including rewriting AI-generated drafts, explaining concepts, providing advice, and crafting various forms of communication. This model is specifically optimized to generate text with correct tone and 'xưng hô' (honorifics), avoiding common chatbot preambles or translationese, making it ideal for applications demanding authentic Vietnamese output.

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vi-humanizer · Gemma 4 E2B

This model, contextboxai/vi-humanizer-gemma-4-e2b, is a specialized language assistant built upon the Gemma 4 E2B architecture, featuring approximately 2 billion effective parameters. Its primary focus is to generate Vietnamese text that reads as if written by a native speaker, ensuring correct tone and appropriate 'xưng hô' (honorifics) without typical chatbot preambles or translation artifacts.

Key Capabilities

  • Native Vietnamese Generation: Produces highly natural and culturally nuanced Vietnamese text.
  • AI Draft Rewriting: Can take AI-generated drafts and rewrite them to sound authentically human in Vietnamese, including highlighting changes and checking numbers.
  • Versatile Assistance: Capable of explaining, advising, planning, writing emails or posts, and translating into natural Vietnamese.
  • Direct Output: Avoids common chatbot conversational fillers, delivering concise and direct answers.

Good For

  • Applications requiring authentic Vietnamese communication: Ideal for customer service, content creation, or any scenario where precise and culturally appropriate Vietnamese is crucial.
  • Humanizing AI-generated content: Useful for refining texts that might otherwise sound robotic or unnatural.
  • Developers seeking efficient deployment: Available in bf16 for transformers and vLLM, and various GGUF quantizations (down to 3.4 GB) for llama.cpp, LM Studio, and Ollama for flexible local deployment. A dedicated web app is also available for offline use, simplifying setup and interaction.

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