Gemma 4 26B A4B JANG 2L CRACK

Gemma

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 2026context N/A

A fine-tuned variant of Google's Gemma 4 26B with modifications applied by dealignai. It accepts both text and image inputs, suggesting multimodal reasoning capabilities inherited from the base Gemma 4 architecture. Details about what specific behavioral changes the 'JANG 2L CRACK' modifications introduce are limited beyond what the base model provides.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Strong

Factual Knowledge

Strong

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Gemma 4 26B A4B JANG 2L CRACK

Gemma

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 2026context N/A

A fine-tuned variant of Google's Gemma 4 26B with modifications applied by dealignai. It accepts both text and image inputs, suggesting multimodal reasoning capabilities inherited from the base Gemma 4 architecture. Details about what specific behavioral changes the 'JANG 2L CRACK' modifications introduce are limited beyond what the base model provides.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Strong

Factual Knowledge

Strong

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Base ModelA pretrained model that completes text patterns but hasn't been trained to follow instructions, serving as a starting point for customization through fine-tuning.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.MultimodalA model that can process and understand multiple types of input, such as both text and images.Multimodal ReasoningThe ability to solve problems by integrating information from multiple input types like images and text.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning CapabilitiesThe model's ability to work through multi-step problems methodically and show its thinking process rather than jumping to answers.