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Model: second-state/Phi-3-mini-128k-instruct-GGUF Source: Original Platform
2026-05-26 23:36:12 +08:00
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+---
+base_model: microsoft/Phi-3-mini-128k-instruct
+license: mit
+license_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE
+language:
+- en
+pipeline_tag: text-generation
+model_creator: Microsoft
+model_name: Phi 3 mini 128k instruct
+model_type: phi-msft
+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 -->
+
+
+> [!CAUTION]
+> The gguf models have been updated! The conversion is done with llama.cpp b3463. 
+
+
+# Phi-3-mini-128k-instruct-GGUF
+
+## Original Model
+
+[microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.12.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.2) and above
+
+- Prompt template
+
+  - Prompt type: `phi-3-chat`
+
+  - Prompt string
+
+    ```text
+    <|system|>
+    {system_message}<|end|>
+    <|user|>
+    {user_message_1}<|end|>
+    <|assistant|>
+    {assistant_message_1}<|end|>
+    <|user|>
+    {user_message_2}<|end|>
+    <|assistant|>
+    ```
+
+- Context size: `128000`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-128k-instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template phi-3-chat \
+    --ctx-size 128000 \
+    --model-name phi-3-mini-128k
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-128k-instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template phi-3-chat \
+    --ctx-size 128000
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Phi-3-mini-128k-instruct-Q2_K.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q2_K.gguf)     | Q2_K   | 2 | 1.42 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Phi-3-mini-128k-instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 2.09 GB| small, substantial quality loss |
+| [Phi-3-mini-128k-instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 1.96 GB| very small, high quality loss |
+| [Phi-3-mini-128k-instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 1.68 GB| very small, high quality loss |
+| [Phi-3-mini-128k-instruct-Q4_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_0.gguf)     | Q4_0   | 4 | 2.18 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Phi-3-mini-128k-instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 2.39 GB| medium, balanced quality - recommended |
+| [Phi-3-mini-128k-instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 2.19 GB| small, greater quality loss |
+| [Phi-3-mini-128k-instruct-Q5_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_0.gguf)     | Q5_0   | 5 | 2.64 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Phi-3-mini-128k-instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 2.82 GB| large, very low quality loss - recommended |
+| [Phi-3-mini-128k-instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 2.64 GB| large, low quality loss - recommended |
+| [Phi-3-mini-128k-instruct-Q6_K.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q6_K.gguf)     | Q6_K   | 6 | 3.14 GB| very large, extremely low quality loss |
+| [Phi-3-mini-128k-instruct-Q8_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q8_0.gguf)     | Q8_0   | 8 | 4.06 GB| very large, extremely low quality loss - not recommended |
+| [Phi-3-mini-128k-instruct-f16.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-f16.gguf)     | f16   | 16 | 7.64 GB|  |
+
+*Quantized with llama.cpp b3463.*
--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "Phi-3-mini-128k-instruct",
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
+  },
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+  "model_type": "phi3",
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32064
+}
--- a/configuration.json
+++ b/configuration.json
@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
				`@@ -0,0 +1 @@`
				`{"framework": "pytorch", "task": "text-generation", "allow_remote": true}`