53 lines
2.1 KiB
Markdown
53 lines
2.1 KiB
Markdown
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---
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license: other
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license_name: lfm1.0
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license_link: LICENSE
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tags:
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- liquid
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- lfm2
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- edge
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base_model:
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- LiquidAI/LFM2-350M-PII-Extract-JP
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---
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<center>
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<div style="text-align: center;">
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<img
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src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
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alt="Liquid AI"
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style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
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/>
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</div>
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<div style="display: flex; justify-content: center; gap: 0.5em;">
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<a href="https://playground.liquid.ai/chat">
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<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • <a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a></a>
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</div>
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</center>
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# LFM2-350M-PII-Extract-JP-GGUF
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Based on [LFM2-350M](https://huggingface.co/LiquidAI/LFM2-350M), this checkpoint is designed to **extract personally identifiable information (PII) from Japanese text and output it in JSON format.**
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The output can then be used to mask out sensitive information in contracts, emails, personal medical reports, insurance bills, etc. directly on-device.
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Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2-350M-PII-Extract-JP
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## 🏃 How to run LFM2
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Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):
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- Extract address, company/institution names, email addresses, human names, and phone numbers from Japanese text.
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```
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llama-cli -hf LiquidAI/LFM2-350M-PII-Extract-JP-GGUF -st --temp 0.0 --json-schema {} --jinja
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```
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- Specifying a particular quantization scheme (e.g. `Q8_0`):
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```
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llama-cli -hf LiquidAI/LFM2-350M-PII-Extract-JP-GGUF:Q8_0 -st --temp 0.0 --json-schema {} --jinja
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```
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Several quantization variants are available (`Q4_0`, `Q4_K_M`, `Q5_K_M`, `Q6_K`, `Q8_0`, and `F16`).
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- Only extracting particular entities (e.g. only extract `address` and `company_name`):
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```
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llama-cli -hf LiquidAI/LFM2-350M-PII-Extract-JP-GGUF -st --temp 0.0 --json-schema {} -sys "Extract <address>, <company_name>"
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```
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