forked from Mirror/ollama4j
Added CodeEmbed component to embed code snippets in markdowns
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@@ -2,6 +2,8 @@
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sidebar_position: 1
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---
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import CodeEmbed from '@site/src/components/CodeEmbed';
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# Models from Ollama Library
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These API retrieves a list of models directly from the Ollama library.
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@@ -11,17 +13,15 @@ These API retrieves a list of models directly from the Ollama library.
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This API fetches available models from the Ollama library page, including details such as the model's name, pull count,
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popular tags, tag count, and the last update time.
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<iframe style={{ width: '100%', height: '919px', border: 'none' }} allow="clipboard-write" src="https://emgithub.com/iframe.html?target=https%3A%2F%2Fgithub.com%2Follama4j%2Follama4j-examples%2Fblob%2Fmain%2Fsrc%2Fmain%2Fjava%2Fio%2Fgithub%2Follama4j%2Fexamples%2FListLibraryModels.java&style=default&type=code&showBorder=on&showLineNumbers=on&showFileMeta=on&showFullPath=on&showCopy=on" />
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<a href="https://github.com/ollama4j/ollama4j-examples/blob/main/src/main/java/io/github/ollama4j/examples/ListLibraryModels.java" target="_blank">
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View ListLibraryModels.java on GitHub
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</a>
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<CodeEmbed
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src='https://raw.githubusercontent.com/ollama4j/ollama4j-examples/refs/heads/main/src/main/java/io/github/ollama4j/examples/ListLibraryModels.java'>
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</CodeEmbed>
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The following is the sample output:
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```
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[
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LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday),
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LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday),
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LibraryModel(name=llama3.2, description=Meta's Llama 3.2 goes small with 1B and 3B models., pullCount=2.4M, totalTags=63, popularTags=[tools, 1b, 3b], lastUpdated=6 weeks ago)
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]
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```
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@@ -56,10 +56,10 @@ The following is the sample output:
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```
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LibraryModelDetail(
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model=LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday),
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model=LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday),
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tags=[
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LibraryModelTag(name=llama3.2-vision, tag=latest, size=7.9GB, lastUpdated=yesterday),
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LibraryModelTag(name=llama3.2-vision, tag=11b, size=7.9GB, lastUpdated=yesterday),
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LibraryModelTag(name=llama3.2-vision, tag=latest, size=7.9GB, lastUpdated=yesterday),
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LibraryModelTag(name=llama3.2-vision, tag=11b, size=7.9GB, lastUpdated=yesterday),
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LibraryModelTag(name=llama3.2-vision, tag=90b, size=55GB, lastUpdated=yesterday)
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]
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)
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