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README.md

@@ -1,3 +1,109 @@
 ---
-license: apache-2.0
+base_model: microsoft/Phi-4-mini-instruct
+license: mit
+license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE
+language:
+- "multilingual"
+- "ar"
+- "zh"
+- "cs"
+- "da"
+- "nl"
+- "en"
+- "fi"
+- "fr"
+- "de"
+- "he"
+- "hu"
+- "it"
+- "ja"
+- "ko"
+- "no"
+- "pl"
+- "pt"
+- "ru"
+- "es"
+- "sv"
+- "th"
+- "tr"
+- "uk"
+pipeline_tag: text-generation
+library_name: transformers
+model_creator: Microsoft
+model_name: Phi-4-mini-instruct
+quantized_by: Second State Inc.
+tags:
+- nlp
+- code
 ---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+
+# Phi-4-mini-instruct-GGUF
+
+## Original Model
+
+[microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: coming soon
+
+<!-- - LlamaEdge version: [v0.14.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.0) and above -->
+
+- Prompt template
+
+  - Prompt type: `phi-4-chat`
+
+  - Prompt string
+
+    ```text
+    <|system|>Insert System Message<|end|><|user|>Insert User Message<|end|><|assistant|>
+    ```
+
+- Context size: `128000`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-4-mini-instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template phi-4-chat \
+    --ctx-size 128000 \
+    --model-name phi-4-mini
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-4-mini-instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template phi-4-chat \
+    --ctx-size 128000
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Phi-4-mini-instruct-Q2_K.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q2_K.gguf)     | Q2_K   | 2 | 1.68 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Phi-4-mini-instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 2.25 GB| small, substantial quality loss |
+| [Phi-4-mini-instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 2.12 GB| very small, high quality loss |
+| [Phi-4-mini-instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 1.90 GB| very small, high quality loss |
+| [Phi-4-mini-instruct-Q4_0.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q4_0.gguf)     | Q4_0   | 4 | 2.33 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Phi-4-mini-instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 2.49 GB| medium, balanced quality - recommended |
+| [Phi-4-mini-instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 2.34 GB| small, greater quality loss |
+| [Phi-4-mini-instruct-Q5_0.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q5_0.gguf)     | Q5_0   | 5 | 2.73 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Phi-4-mini-instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 2.85 GB| large, very low quality loss - recommended |
+| [Phi-4-mini-instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 2.73 GB| large, low quality loss - recommended |
+| [Phi-4-mini-instruct-Q6_K.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q6_K.gguf)     | Q6_K   | 6 | 3.16 GB| very large, extremely low quality loss |
+| [Phi-4-mini-instruct-Q8_0.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q8_0.gguf)     | Q8_0   | 8 | 4.08 GB| very large, extremely low quality loss - not recommended |
+| [Phi-4-mini-instruct-f16.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-f16.gguf)     | f16   | 16 | 7.68 GB|  |
+
+*Quantized with llama.cpp b4792.*