AI Model2026
A dynamically quantized GGUF build of Ornith-1.5-35B optimized for agentic code-fixing and multi-turn conversations: targets 4-bit/≈22GB deployments, includes a vision projector, a custom importance matrix and a concise chat template.
AI Model2026
GGUF-packaged weights for EmbeddingGemma 2 enabling local multimodal embeddings (text, image, video, audio); supports 768/512/256/128 dimensions, BF16/FP32 inference, selective modality loading for lower memory, and is suited for semantic search and RAG.