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chore(model gallery): add liquidai_lfm2-1.2b-extract (#6388)
Signed-off-by: Ettore Di Giacinto <[email protected]>
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gallery/index.yaml

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- filename: LiquidAI_LFM2-350M-Extract-Q4_K_M.gguf
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sha256: 340a7fb24b98a7dbe933169dbbb869f4d89f8c7bf27ee45d62afabfc5b376743
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uri: huggingface://bartowski/LiquidAI_LFM2-350M-Extract-GGUF/LiquidAI_LFM2-350M-Extract-Q4_K_M.gguf
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- !!merge <<: *lfm2
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name: "liquidai_lfm2-1.2b-extract"
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urls:
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- https://huggingface.co/LiquidAI/LFM2-1.2B-Extract
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- https://huggingface.co/bartowski/LiquidAI_LFM2-1.2B-Extract-GGUF
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description: |
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Based on LFM2-1.2B, LFM2-1.2B-Extract is designed to extract important information from a wide variety of unstructured documents (such as articles, transcripts, or reports) into structured outputs like JSON, XML, or YAML.
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Use cases:
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Extracting invoice details from emails into structured JSON.
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Converting regulatory filings into XML for compliance systems.
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Transforming customer support tickets into YAML for analytics pipelines.
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Populating knowledge graphs with entities and attributes from unstructured reports.
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overrides:
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parameters:
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model: LiquidAI_LFM2-1.2B-Extract-Q4_K_M.gguf
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files:
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- filename: LiquidAI_LFM2-1.2B-Extract-Q4_K_M.gguf
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sha256: 97a1c5600045e9ade49bc4a9e3df083cef7c82b05a6d47ea2e58ab44cc98b16a
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uri: huggingface://bartowski/LiquidAI_LFM2-1.2B-Extract-GGUF/LiquidAI_LFM2-1.2B-Extract-Q4_K_M.gguf
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- name: "kokoro"
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:

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