Update

Signed-off-by: Xin Liu <[email protected]>

README.md

@@ -26,4 +26,48 @@ quantized_by: Second State Inc.
 
 ## Run with LlamaEdge
 
-- LlamaEdge version: coming soon
+- LlamaEdge version: [v0.3.2](https://github.com/second-state/LlamaEdge/releases/tag/0.3.2) (coming soon)
+
+- Prompt template
+
+  - Prompt type: `gemma-instruct`
+
+  - Prompt string
+
+    ```text
+    <start_of_turn>user
+    {user_message}<end_of_turn>
+    <start_of_turn>model
+    {model_message}<end_of_turn>model
+    ```
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-7b-it-Q5_K_M.gguf llama-api-server.wasm -p gemma-instruct -c 4096
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-7b-it-Q5_K_M.gguf llama-chat.wasm -p gemma-instruct -c 4096
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [gemma-7b-it-Q2_K.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q2_K.gguf)     | Q2_K   | 2 | 3.09 GB| smallest, significant quality loss - not recommended for most purposes |
+| [gemma-7b-it-Q3_K_L.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 4.4 GB| small, substantial quality loss |
+| [gemma-7b-it-Q3_K_M.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 4.06 GB| very small, high quality loss |
+| [gemma-7b-it-Q3_K_S.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 3.68 GB| very small, high quality loss |
+| [gemma-7b-it-Q4_0.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q4_0.gguf)     | Q4_0   | 4 | 4.81 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [gemma-7b-it-Q4_K_M.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 5.13 GB| medium, balanced quality - recommended |
+| [gemma-7b-it-Q4_K_S.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 4.84 GB| small, greater quality loss |
+| [gemma-7b-it-Q5_0.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q5_0.gguf)     | Q5_0   | 5 | 5.88 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [gemma-7b-it-Q5_K_M.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 6.04 GB| large, very low quality loss - recommended |
+| [gemma-7b-it-Q5_K_S.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 5.88 GB| large, low quality loss - recommended |
+| [gemma-7b-it-Q6_K.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q6_K.gguf)     | Q6_K   | 6 | 7.01 GB| very large, extremely low quality loss |
+| [gemma-7b-it-Q8_0.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q8_0.gguf)     | Q8_0   | 8 | 9.08 GB| very large, extremely low quality loss - not recommended |
+
+*Quantized with llama.cpp b2230*