Update README.md

README.md

@@ -1,3 +1,101 @@
----
-license: apache-2.0
----
+---
+base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct/blob/main/LICENSE
+model_creator: Qwen
+model_name: Qwen2.5-Coder-1.5B-Instruct
+quantized_by: Second State Inc.
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- code
+- codeqwen
+- chat
+- qwen
+- qwen-coder
+---
+
+<!-- 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 -->
+
+# Qwen2.5-Coder-1.5B-Instruct-GGUF
+
+## Original Model
+
+[Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: coming soon
+
+<!-- - LlamaEdge version: [v0.14.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.3) -->
+
+- Prompt template
+
+  - Prompt type: coming soon
+
+  - Prompt string
+ 
+    - File-Level Code Completion (Fill in the middle)
+
+      ```text
+      <|fim_prefix|>{prefix_code}<|fim_suffix|>{suffix_code}<|fim_middle|>
+      ```
+
+    - Repository-Level Code Completion
+   
+      ```text
+      <|repo_name|>{repo_name}
+      <|file_sep|>{file_path1} 
+      {file_content1}
+      <|file_sep|>{file_path2} 
+      {file_content2}
+      ```
+
+- Context size: `128000`
+
+<!-- - Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --model-name Qwen2.5-Coder-1.5B-Instruct \
+    --prompt-template chatml \
+    --ctx-size 128000
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template chatml \
+    --ctx-size 128000
+  ``` -->
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.02 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.09 GB| small, substantial quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.81 GB| very small, high quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.49 GB| very small, high quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.43 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.68 GB| medium, balanced quality - recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.46 GB| small, greater quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.32 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.44 GB| large, very low quality loss - recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.32 GB| large, low quality loss - recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.25 GB| very large, extremely low quality loss |
+| [Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.21 GB| very large, extremely low quality loss - not recommended |
+| [Qwen2.5-Coder-1.5B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-f16.gguf)       | f16    | 16 | 15.2 GB| |
+
+*Quantized with llama.cpp b3751*