Forked from google/gemma-3-27b
Forked from google/gemma-3-27b
Capabilities
Capabilities
Minimum system memory
Tags
Last updated
Updated on August 6byREADME
Optimized with Quantization Aware Training for improved 4-bit performance.
Supports a context length of 128k tokens, with a max output of 8192.
Multimodal supporting images normalized to 896 x 896 resolution.
Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning.
Sources
The underlying model files this model uses
Based on
Minimum system memory
Tags
Last updated
Updated on August 6byREADME
Optimized with Quantization Aware Training for improved 4-bit performance.
Supports a context length of 128k tokens, with a max output of 8192.
Multimodal supporting images normalized to 896 x 896 resolution.
Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning.
Sources
The underlying model files this model uses
Based on
