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README.md

@@ -1,3 +1,97 @@
 ---
-license: apache-2.0
+base_model: deepseek-ai/DeepSeek-Coder-V2-Instruct
+inference: false
+license: other
+license_name: deepseek-license
+license_link: LICENSE
+model_creator: DeepSeek-ai
+model_name: DeepSeek-Coder-V2-Instruct
+model_type: deepseek
+quantized_by: Second State Inc.
 ---
+
+<!-- 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-Coder-V2-Instruct-GGUF
+
+## Original Model
+
+[deepseek-ai/DeepSeek-Coder-V2-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.12.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.3) and above
+
+- Prompt template
+
+  - Prompt type: `deepseek-chat-2`
+
+  - 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-Coder-V2-Instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template deepseek-chat-2 \
+    --ctx-size 128000 \
+    --model-name DeepSeek-Coder-V2-Instruct
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. \
+    --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template deepseek-chat-2 \
+    --ctx-size 128000
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [DeepSeek-Coder-V2-Instruct-Q2_K-00001-of-00003.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q2_K-00001-of-00003.gguf)     | Q2_K   | 2 | 29.7 GB| smallest, significant quality loss - not recommended for most purposes |
+| [DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf)     | Q2_K   | 2 | 29.8 GB| smallest, significant quality loss - not recommended for most purposes |
+| [DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf)     | Q2_K   | 2 | 26.4 GB| smallest, significant quality loss - not recommended for most purposes |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00001-of-00005.gguf) | Q3_K_L | 3 | 29.8 GB| small, substantial quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00002-of-00005.gguf) | Q3_K_L | 3 | 29.7 GB| small, substantial quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00003-of-00005.gguf) | Q3_K_L | 3 | 29.9 GB| small, substantial quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00004-of-00005.gguf) | Q3_K_L | 3 | 29.8 GB| small, substantial quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_L-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_L-00005-of-00005.gguf) | Q3_K_L | 3 | 3.14 GB| small, substantial quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00001-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00001-of-00004.gguf) | Q3_K_M | 3 | 29.6 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf) | Q3_K_M | 3 | 29.5 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf) | Q3_K_M | 3 | 29.8 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf) | Q3_K_M | 3 | 23.8 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 7.49 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q4_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 8.91 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 10.4 GB| medium, balanced quality - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 9.53 GB| small, greater quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q5_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 10.8 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 11.9 GB| large, very low quality loss - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 11.1 GB| large, low quality loss - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q6_K.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 14.1 GB| very large, extremely low quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q8_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 16.7 GB| very large, extremely low quality loss - not recommended |
+| [DeepSeek-Coder-V2-Instruct-f16.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-f16.gguf)     | f16    | 16 | 31.4 GB| |
+
+*Quatized with llama.cpp b3499*