Gemma 4 26B A4B IT

Efficient Mixture-of-Experts model optimized for strong performance at lower cost.

• Efficient MoE Design. ~26B total parameters with ~4B active per token. Delivers near large-model quality at significantly lower compute cost.

• Instruction Tuned. Built for chat, structured outputs, and general assistant use cases.

• Cost-Performance Sweet Spot. Much cheaper to run than dense models of similar quality, making it practical for production workloads.

• Apache 2.0 License. Fully open and permissive for commercial deployment.

Why pick it for Norman AI?

Gemma 4 26B A4B IT is a great “default at scale” model - good quality, lower cost, and easy to run. Ideal when you need to serve many requests without paying for full dense models.

messages = [
    {"role": "system", "content": "You are a helpful AI assistant."},
    {"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"},
    {"role": "assistant",
     "content": "Sure! Here are some ways to eat bananas and dragonfruits together"},
    {"role": "user", "content": "What about solving an 2x + 3 = 7 equation?"},
]

response = await norman.invoke(
    {
        "model_name": "gemma-4-26b-a4b-it",
        "inputs": [
            {
                "display_title": "Prompt",
                "data": messages
            }
        ]
    }
)

messages = [
    {"role": "system", "content": "You are a helpful AI assistant."},
    {"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"},
    {"role": "assistant",
     "content": "Sure! Here are some ways to eat bananas and dragonfruits together"},
    {"role": "user", "content": "What about solving an 2x + 3 = 7 equation?"},
]

response = await norman.invoke(
    {
        "model_name": "gemma-4-26b-a4b-it",
        "inputs": [
            {
                "display_title": "Prompt",
                "data": messages
            }
        ]
    }
)

messages = [
    {"role": "system", "content": "You are a helpful AI assistant."},
    {"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"},
    {"role": "assistant",
     "content": "Sure! Here are some ways to eat bananas and dragonfruits together"},
    {"role": "user", "content": "What about solving an 2x + 3 = 7 equation?"},
]

response = await norman.invoke(
    {
        "model_name": "gemma-4-26b-a4b-it",
        "inputs": [
            {
                "display_title": "Prompt",
                "data": messages
            }
        ]
    }
)

messages = [
    {"role": "system", "content": "You are a helpful AI assistant."},
    {"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"},
    {"role": "assistant",
     "content": "Sure! Here are some ways to eat bananas and dragonfruits together"},
    {"role": "user", "content": "What about solving an 2x + 3 = 7 equation?"},
]

response = await norman.invoke(
    {
        "model_name": "gemma-4-26b-a4b-it",
        "inputs": [
            {
                "display_title": "Prompt",
                "data": messages
            }
        ]
    }
)