Update README.md

README.md

@@ -1,85 +1,85 @@
----
-base_model: google/gemma-3-1b-it
-inference: false
-library_name: transformers
-license: gemma
-model_creator: Google
-model_name: gemma-3-1b-it
-quantized_by: Second State Inc.
-pipeline_tag: text-generation
----
-
-<!-- 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 -->
-
-# gemma-3-1b-it-GGUF
-
-## Original Model
-
-[google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it)
-
-## Run with LlamaEdge
-
-- LlamaEdge version: coming soon
-
-<!-- - LlamaEdge version: [v0.13.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.13.0) and above
-
-- Prompt template
-
-  - Prompt type: `gemma-instruct`
-
-  - Prompt string
-
-    ```text
-    <bos><start_of_turn>user
-    {user_message}<end_of_turn>
-    <start_of_turn>model
-    {model_message}<end_of_turn>model
-    ``` -->
-
-- Context size: `128000`
-
-<!-- - Run as LlamaEdge service
-
-  ```bash
-  wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-3-1b-it-Q5_K_M.gguf \
-    llama-api-server.wasm \
-    --prompt-template gemma-instruct \
-    --ctx-size 128000 \
-    --model-name gemma-3-1b
-  ```
-
-- Run as LlamaEdge command app
-
-  ```bash
-  wasmedge --dir .:. \
-    --nn-preload default:GGML:AUTO:gemma-3-1b-it-Q5_K_M.gguf \
-    llama-chat.wasm \
-    --prompt-template gemma-instruct \
-    --ctx-size 128000
-  ``` -->
-
-## Quantized GGUF Models
-
-| Name | Quant method | Bits | Size | Use case |
-| ---- | ---- | ---- | ---- | ----- |
-| [gemma-3-1b-it-Q2_K.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q2_K.gguf)     | Q2_K   | 2 | 690 MB| smallest, significant quality loss - not recommended for most purposes |
-| [gemma-3-1b-it-Q3_K_L.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 752 MB| small, substantial quality loss |
-| [gemma-3-1b-it-Q3_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 722 MB| very small, high quality loss |
-| [gemma-3-1b-it-Q3_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 689 MB| very small, high quality loss |
-| [gemma-3-1b-it-Q4_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_0.gguf)     | Q4_0   | 4 | 720 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
-| [gemma-3-1b-it-Q4_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 806 MB| medium, balanced quality - recommended |
-| [gemma-3-1b-it-Q4_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 781 MB| small, greater quality loss |
-| [gemma-3-1b-it-Q5_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_0.gguf)     | Q5_0   | 5 | 808 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
-| [gemma-3-1b-it-Q5_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 851 MB| large, very low quality loss - recommended |
-| [gemma-3-1b-it-Q5_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 836 MB| large, low quality loss - recommended |
-| [gemma-3-1b-it-Q6_K.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q6_K.gguf)     | Q6_K   | 6 | 1.01 GB| very large, extremely low quality loss |
-| [gemma-3-1b-it-Q8_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q8_0.gguf)     | Q8_0   | 8 | 1.07 GB| very large, extremely low quality loss - not recommended |
-| [gemma-3-1b-it-f16.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-f16.gguf)       | f16   | 16 | 2.01 GB|  |
-
+---
+base_model: google/gemma-3-1b-it
+inference: false
+library_name: transformers
+license: gemma
+model_creator: Google
+model_name: gemma-3-1b-it
+quantized_by: Second State Inc.
+pipeline_tag: text-generation
+---
+
+<!-- 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 -->
+
+# gemma-3-1b-it-GGUF
+
+## Original Model
+
+[google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: coming soon
+
+<!-- - LlamaEdge version: [v0.13.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.13.0) and above -->
+
+- Prompt template
+
+  - Prompt type: `gemma-instruct`
+
+  - Prompt string
+
+    ```text
+    <bos><start_of_turn>user
+    {user_message}<end_of_turn>
+    <start_of_turn>model
+    {model_message}<end_of_turn>model
+    ```
+
+- Context size: `128000`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-3-1b-it-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template gemma-instruct \
+    --ctx-size 128000 \
+    --model-name gemma-3-1b
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. \
+    --nn-preload default:GGML:AUTO:gemma-3-1b-it-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template gemma-instruct \
+    --ctx-size 128000
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [gemma-3-1b-it-Q2_K.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q2_K.gguf)     | Q2_K   | 2 | 690 MB| smallest, significant quality loss - not recommended for most purposes |
+| [gemma-3-1b-it-Q3_K_L.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 752 MB| small, substantial quality loss |
+| [gemma-3-1b-it-Q3_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 722 MB| very small, high quality loss |
+| [gemma-3-1b-it-Q3_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 689 MB| very small, high quality loss |
+| [gemma-3-1b-it-Q4_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_0.gguf)     | Q4_0   | 4 | 720 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [gemma-3-1b-it-Q4_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 806 MB| medium, balanced quality - recommended |
+| [gemma-3-1b-it-Q4_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 781 MB| small, greater quality loss |
+| [gemma-3-1b-it-Q5_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_0.gguf)     | Q5_0   | 5 | 808 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [gemma-3-1b-it-Q5_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 851 MB| large, very low quality loss - recommended |
+| [gemma-3-1b-it-Q5_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 836 MB| large, low quality loss - recommended |
+| [gemma-3-1b-it-Q6_K.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q6_K.gguf)     | Q6_K   | 6 | 1.01 GB| very large, extremely low quality loss |
+| [gemma-3-1b-it-Q8_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q8_0.gguf)     | Q8_0   | 8 | 1.07 GB| very large, extremely low quality loss - not recommended |
+| [gemma-3-1b-it-f16.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-f16.gguf)       | f16   | 16 | 2.01 GB|  |
+
 *Quantized with llama.cpp b4875*