Update README.md

README.md

@@ -1,116 +1,78 @@
----
-model_name: DeepSeek-R1-Distill-Llama-8B
-base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
-model_creator: deepseek-ai
-quantized_by: Second State Inc.
-library_name: transformers
----
-
-<!-- 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 -->
-
-# DeepSeek-R1-Distill-Llama-8B-GGUF
-
-## Original Model
-
-[deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)
-
-## Run with LlamaEdge
-
-- LlamaEdge version: coming soon
-
-<!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
-
-- Prompt template
-
-  - Prompt type for chat: `llama-3-chat`
-
-    - Prompt string
-
-      ```text
-      <|begin_of_text|><|start_header_id|>system<|end_header_id|>
-
-      {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
-
-      {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
-
-      {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
-
-      {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
-      ```
-
-  - Prompt type for tool use: `llama-3-tool`
-
-    - Prompt string
-
-      ```text
-      <|begin_of_text|><|start_header_id|>system<|end_header_id|>
-
-      {system_message}<|eot_id|><|start_header_id|>user<|end_header_id|>
-
-      Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt.
-
-      Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
-
-      [{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","description":"The temperature unit to use. Infer this from the users location.","enum":["celsius","fahrenheit"]}},"required":["location","unit"]}}}]
-
-      Question: {user_message}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
-      ``` -->
-
-- Context size: `128000`
-
-<!-- - Run as LlamaEdge service
-
-  - Chat
-
-    ```bash
-    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf \
-      llama-api-server.wasm \
-      --prompt-template llama-3-chat \
-      --ctx-size 128000 \
-      --model-name Llama-3.1-8b
-    ```
-
-  - Tool use
-
-    ```bash
-    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf \
-      llama-api-server.wasm \
-      --prompt-template llama-3-tool \
-      --ctx-size 128000 \
-      --model-name Llama-3.1-8b
-    ```
-
-- Run as LlamaEdge command app
-
-  ```bash
-  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf \
-    llama-chat.wasm \
-    --prompt-template llama-3-chat \
-    --ctx-size 128000
-  ``` -->
-
-## Quantized GGUF Models
-
-| Name | Quant method | Bits | Size | Use case |
-| ---- | ---- | ---- | ---- | ----- |
-| [Meta-Llama-3.1-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.6 GB| very large, extremely low quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
-| [Meta-Llama-3.1-8B-Instruct-f16.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-f16.gguf)       | f16    | 16 | 16.1 GB|  |
-
+---
+model_name: DeepSeek-R1-Distill-Llama-8B
+base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+model_creator: deepseek-ai
+quantized_by: Second State Inc.
+library_name: transformers
+---
+
+<!-- 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 -->
+
+# DeepSeek-R1-Distill-Llama-8B-GGUF
+
+## Original Model
+
+[deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: coming soon
+
+<!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above -->
+
+- Prompt template
+
+  - Prompt type: `deepseek-chat-25`
+
+  - Prompt string
+
+    ```text
+    <|begin_of_sentence|>{system_message}<|User|>{user_message_1}<|Assistant|>{assistant_message_1}<|end_of_sentence|><|User|>{user_message_2}<|Assistant|>
+    ```
+
+- Context size: `128000`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:DeepSeek-R1-Distill-Llama-8B-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template deepseek-chat-25 \
+    --ctx-size 128000 \
+    --model-name DeepSeek-R1-Distill-Llama-8B
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:DeepSeek-R1-Distill-Llama-8B-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template deepseek-chat-25 \
+    --ctx-size 128000
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Meta-Llama-3.1-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
+| [Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
+| [Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
+| [Meta-Llama-3.1-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.6 GB| very large, extremely low quality loss |
+| [Meta-Llama-3.1-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
+| [Meta-Llama-3.1-8B-Instruct-f16.gguf](https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-8B/blob/main/Meta-Llama-3.1-8B-Instruct-f16.gguf)       | f16    | 16 | 16.1 GB|  |
+
 *Quantized with llama.cpp b4519*