KiwiMate/KiwiMate-Small-Preview
KiwiMate/KiwiMate-Small-Preview is a 9.65 billion parameter multimodal Qwen3.5-based model developed by KiwiMate/KyleCodeKiwi, fine-tuned for conversational AI and image understanding within the KiwiMate app. It excels at general-purpose chat, assistant-style conversation, and incorporates New Zealand cultural context, including Te Reo Māori vocabulary. This model is optimized for a balance of capability and serving cost, providing richer interactions for higher subscription tiers.
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KiwiMate-Small-Preview: Multimodal Conversational AI
KiwiMate-Small-Preview is a 9.65 billion parameter multimodal model, part of the KiwiMate AI companion app's model family, developed by KiwiMate/KyleCodeKiwi. Built upon the Qwen3.5-9B base architecture, it is specifically fine-tuned for enhanced conversational experiences and image understanding, targeting the app's premium subscription tiers.
Key Capabilities
- Multimodal Interaction: Processes both text and image inputs, enabling understanding of user-uploaded photos within the app.
- Conversational AI: Offers deeper general-purpose chat and assistant-style conversation compared to smaller models in the family.
- Cultural Context: Incorporates New Zealand cultural awareness, including light Te Reo Māori vocabulary and app-specific lore.
- Optimized Performance: Fine-tuned using Unsloth for a balance of capability and serving cost, making it suitable for production deployment.
- Flexible Deployment: Available in
safetensors(full precision) and various GGUF quantizations (F16, Q6_K, Q4_K_M, Q2_K_L) for diverse inference needs.
Intended Use Cases
This model is designed to provide a "smarter" conversational experience within the KiwiMate app, offering richer interactions and image understanding. It is particularly suited for:
- General-purpose chat and assistant functions.
- Interpreting user-uploaded images in a conversational context.
- Engaging with users on topics related to New Zealand culture and app-specific identity.
Limitations
As a 9-10B parameter multimodal model, its image reasoning and fine factual detail may not match larger, frontier models. It is not intended for high-stakes advice (medical, legal, financial) or as an authoritative source on Te Reo Māori or tikanga.