dejanseo/gemma-fanout
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.3BQuant:BF16Context Size:32kPublished:Sep 24, 2026License:otherArchitecture:Transformer0.0K Featherless Exclusive Cold
The dejanseo/gemma-fanout is a 0.3 billion parameter language model based on the Gemma architecture, developed by dejanseo. This model is designed for efficient processing with a substantial context length of 32768 tokens. Its primary utility lies in applications requiring compact yet capable language understanding and generation over extended textual inputs.
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Overview
The dejanseo/gemma-fanout is a compact language model built upon the Gemma architecture, featuring 0.3 billion parameters. It is notable for its extended context window, supporting up to 32,768 tokens, which allows it to process and understand significantly longer texts compared to many models of similar size.
Key Capabilities
- Efficient Language Processing: Despite its smaller parameter count, the model is designed for effective language understanding and generation.
- Extended Context Window: With a 32,768-token context length, it can handle complex and lengthy inputs, maintaining coherence and relevance over large documents or conversations.
Good For
- Applications requiring long-form text analysis: Ideal for tasks such as summarizing extensive documents, processing long conversations, or generating content that needs to maintain context over many paragraphs.
- Resource-constrained environments: Its smaller size makes it suitable for deployment in scenarios where computational resources are limited, while still offering a robust context handling capability.