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Model: LiquidAI/LFM2-350M-PII-Extract-JP-GGUF
Source: Original Platform

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README.md

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

leap/Q4_0.json

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+{
+  "inference_type": "llama.cpp/text-to-text",
+  "schema_version": "1.0.0",
+  "load_time_parameters": {
+    "model": "../LFM2-350M-PII-Extract-JP-Q4_0.gguf"
+  },
+  "generation_time_parameters": {
+    "sampling_parameters": {
+      "temperature": 0.0
+    }
+  }
+}

leap/Q4_K_M.json

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+{
+  "inference_type": "llama.cpp/text-to-text",
+  "schema_version": "1.0.0",
+  "load_time_parameters": {
+    "model": "../LFM2-350M-PII-Extract-JP-Q4_K_M.gguf"
+  },
+  "generation_time_parameters": {
+    "sampling_parameters": {
+      "temperature": 0.0
+    }
+  }
+}

leap/Q5_K_M.json

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+{
+  "inference_type": "llama.cpp/text-to-text",
+  "schema_version": "1.0.0",
+  "load_time_parameters": {
+    "model": "../LFM2-350M-PII-Extract-JP-Q5_K_M.gguf"
+  },
+  "generation_time_parameters": {
+    "sampling_parameters": {
+      "temperature": 0.0
+    }
+  }
+}

leap/Q8_0.json

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+{
+  "inference_type": "llama.cpp/text-to-text",
+  "schema_version": "1.0.0",
+  "load_time_parameters": {
+    "model": "../LFM2-350M-PII-Extract-JP-Q8_0.gguf"
+  },
+  "generation_time_parameters": {
+    "sampling_parameters": {
+      "temperature": 0.0
+    }
+  }
+}