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README.md

@@ -1,47 +1,105 @@
 ---
-license: Apache License 2.0
+base_model: Qwen/Qwen2.5-Math-7B-Instruct
-
+license: apache-2.0
-#model-type:
+license_link: https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct/blob/main/LICENSE
-##如 gpt、phi、llama、chatglm、baichuan 等
+model_creator: Qwen
-#- gpt
+model_name: Qwen2.5-Math-7B-Instruct
-
+quantized_by: Second State Inc.
-#domain:
+language:
-##如 nlp、cv、audio、multi-modal
+- en
-#- nlp
+pipeline_tag: text-generation
-
+library_name: transformers
-#language:
+tags:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
+- code
-#- cn 
+- codeqwen
-
+- chat
-#metrics:
+- qwen
-##如 CIDEr、Blue、ROUGE 等
+- qwen-coder
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
+<!-- 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-Math-7B-Instruct-GGUF
+
+## Original Model
+
+[Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-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: `qwen-2.5-coder`
+
+  - Prompt string
+ 
+    - File-Level Code Completion (Fill in the middle)
+
+      ```text
+      <|fim_prefix|>{prefix_code}<|fim_suffix|>{suffix_code}<|fim_middle|>
+      ```
+ 
+      *Reference: https://github.com/QwenLM/Qwen2.5-Coder?tab=readme-ov-file#3-file-level-code-completion-fill-in-the-middle*
+
+    - Repository-Level Code Completion
+   
+      ```text
+      <|repo_name|>{repo_name}
+      <|file_sep|>{file_path1} 
+      {file_content1}
+      <|file_sep|>{file_path2} 
+      {file_content2}
+      ```
+
+      *Reference: https://github.com/QwenLM/Qwen2.5-Coder?tab=readme-ov-file#4-repository-level-code-completion*
+
+- Context size: `128000`
+
+- Run as LlamaEdge service
+
   ```bash
-#安装ModelScope
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Math-7B-Instruct-Q5_K_M.gguf \
-pip install modelscope
+    llama-api-server.wasm \
-```
+    --model-name Qwen2.5-Math-7B-Instruct \
-```python
+    --prompt-template qwen-2.5-coder \
-#SDK模型下载
+    --ctx-size 128000
-from modelscope import snapshot_download
-model_dir = snapshot_download('second-state/Qwen2.5-Math-7B-Instruct-GGUF')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/second-state/Qwen2.5-Math-7B-Instruct-GGUF.git
   ```
 
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Math-7B-Instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template qwen-2.5-coder \
+    --ctx-size 128000
+  ``` -->
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Qwen2.5-Math-7B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.02 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Qwen2.5-Math-7B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.09 GB| small, substantial quality loss |
+| [Qwen2.5-Math-7B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.81 GB| very small, high quality loss |
+| [Qwen2.5-Math-7B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.49 GB| very small, high quality loss |
+| [Qwen2.5-Math-7B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.43 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen2.5-Math-7B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.68 GB| medium, balanced quality - recommended |
+| [Qwen2.5-Math-7B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.46 GB| small, greater quality loss |
+| [Qwen2.5-Math-7B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.32 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen2.5-Math-7B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.44 GB| large, very low quality loss - recommended |
+| [Qwen2.5-Math-7B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.32 GB| large, low quality loss - recommended |
+| [Qwen2.5-Math-7B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.25 GB| very large, extremely low quality loss |
+| [Qwen2.5-Math-7B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.21 GB| very large, extremely low quality loss - not recommended |
+| [Qwen2.5-Math-7B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Math-7B-Instruct-GGUF/blob/main/Qwen2.5-Math-7B-Instruct-f16.gguf)       | f16    | 16 | 15.2 GB| |
+
+*Quantized with llama.cpp b3751*

config.json

@@ -0,0 +1,27 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 4096,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}