Update

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

README.md

@@ -1,7 +1,69 @@
-# Mistral-7B-Instruct-V0.1
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+inference: false
+license: apache-2.0
+model_creator: Mistral AI
+model_name: Mistral 7B Instruct v0.1
+model_type: mistral
+pipeline_tag: text-generation
+tags:
+- finetuned
+quantized_by: Second State Inc.
+---
 
-## Prompt Template
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/second-state/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 -->
 
-```text
-<s>[INST] {prompt} [/INST]
-```
+# Mistral-7B-Instruct-v0.1-GGUF
+
+## Original Model
+
+[mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.2.4](https://github.com/second-state/LlamaEdge/releases/tag/0.2.4)
+
+- Prompt template
+
+  - Prompt type: `mistral-instruct`
+
+  - Prompt string
+
+    ```text
+    <s>[INST] {prompt} [/INST]
+    ```
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.1-Q5_K_M.gguf llama-api-server.wasm -p mistral-instruct
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.1-Q5_K_M.gguf llama-chat.wasm -p mistral-instruct
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Mistral-7B-Instruct-v0.1-Q2_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q2_K.gguf)     | Q2_K   | 2 | 2.7 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Mistral-7B-Instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
+| [Mistral-7B-Instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
+| [Mistral-7B-Instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
+| [Mistral-7B-Instruct-v0.1-Q4_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_0.gguf)     | Q4_0   | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Mistral-7B-Instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
+| [Mistral-7B-Instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
+| [Mistral-7B-Instruct-v0.1-Q5_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_0.gguf)     | Q5_0   | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Mistral-7B-Instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
+| [Mistral-7B-Instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended |
+| [Mistral-7B-Instruct-v0.1-Q6_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q6_K.gguf)     | Q6_K   | 6 | 5.94 GB| very large, extremely low quality loss |
+| [Mistral-7B-Instruct-v0.1-Q8_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q8_0.gguf)     | Q8_0   | 8 | 7.7 GB| very large, extremely low quality loss - not recommended |