Update

Signed-off-by: Xin Liu <sam@secondstate.io>

README.md

@@ -21,7 +21,7 @@ quantized_by: Second State Inc.
 <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
 <!-- header end -->
 
-# Llama-3-8B-Instruct-GGUF
+# Meta-Llama-3-8B-Instruct-GGUF
 
 ## Original Model
 
@@ -60,12 +60,32 @@ quantized_by: Second State Inc.
     --ctx-size 4096 \
     --model-name Llama-3-8b
   ```
-<!--
+
 - Run as LlamaEdge command app
 
   ```bash
-  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-2-7b-chat-hf-Q5_K_M.gguf llama-chat.wasm -p llama-2-chat
-  ``` -->
-
-
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3-8B-Instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template llama-3-chat \
+    --ctx-size 4096 \
+  ```
 
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Meta-Llama-3-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Meta-Llama-3-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
+| [Meta-Llama-3-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
+| [Meta-Llama-3-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
+| [Meta-Llama-3-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Meta-Llama-3-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
+| [Meta-Llama-3-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
+| [Meta-Llama-3-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Meta-Llama-3-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
+| [Meta-Llama-3-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
+| [Meta-Llama-3-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.6 GB| very large, extremely low quality loss |
+| [Meta-Llama-3-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
+| [Meta-Llama-3-8B-Instruct-f16.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-GGUF/blob/main/Meta-Llama-3-8B-Instruct-f16.gguf)     | f16   | 16 | 16.1 GB|  |
+
+*Quantized with llama.cpp b2715.*