Fixes the issue with Open WebUI not passing tools (native) and system prompt information properly. num_ctx default: 32768. Tested with Open WebUI v0.9.6 and v0.10.2. Just built on top of https://ollama.com/library/gemma3:1b.
Gemma3 model with tools support and large context window (optimized for RTX3090 24GB VRAM)
Google gemma3 with added tools support.
Gemma3 instruction-tuned and quantized with tool/functions using a faithful representation of the Google DeepMind recommended tool calling methodology. Runs remarkably well on old GPUs and CPU.
Gemma 3 with tools
A Gemma3 model with integrated tool support, fully compatible with the latest Ollama release.
The current, most capable model that runs on a single GPU or TPU. Now with tools
Gemma 3 enhanced with Tool Calling support [128k context window + multimodal]
Quantized version of Gemma3-12B,27B optimized for tool usage in Cline / Roo Code and complex problem solving.
The current, most capable model that runs on a single GPU. With quantization and tools.
Google Gemma 3n | Edge AI with tool support. Designed for consumer devices: efficient, local, tool-enabled
Gemma3n with tools
Gemma3, but with vision AND tool calling?! What could be better than that?
Gemma 3 with tool calling support
gemma3:12b-it-qat with tool support
Gemma3:12b, with added tools, quantized to Q2_K and Q3_K_S for GPU with 8gb Vram or less. Vision module fully working.