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- ---
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- base_model: Qwen/Qwen2.5-Coder-3B-Instruct
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- license: other
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- license_name: qwen-research
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- license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSEE
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- model_creator: Qwen
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- model_name: Qwen2.5-Coder-3B-Instruct
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- pipeline_tag: text-generation
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- library_name: transformers
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- quantized_by: Second State Inc.
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- language:
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- - en
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- tags:
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- - code
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- - codeqwen
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- - chat
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- - qwen
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- - qwen-coder
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- ---
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-
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- <!-- header start -->
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- <!-- 200823 -->
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- <div style="width: auto; margin-left: auto; margin-right: auto">
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- <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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- </div>
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- <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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- <!-- header end -->
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-
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- # Qwen2.5-Coder-3B-Instruct-GGUF
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-
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- ## Original Model
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-
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- [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct)
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-
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- ## Run with LlamaEdge
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-
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- - LlamaEdge version: [v0.14.14](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.14) and above
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-
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- - Prompt template
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-
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- - Prompt type: `chatml`
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-
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- - Prompt string
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-
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- ```text
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- <|im_start|>system
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- {system_message}<|im_end|>
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- <|im_start|>user
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- {prompt}<|im_end|>
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- <|im_start|>assistant
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- ```
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-
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- - Context size: `128000`
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-
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- - Run as LlamaEdge service
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf \
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- llama-api-server.wasm \
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- --model-name Qwen2.5-Coder-3B-Instruct \
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- --prompt-template chatml \
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- --ctx-size 128000
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- ```
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-
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- - Run as LlamaEdge command app
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf \
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- llama-chat.wasm \
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- --prompt-template chatml \
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- --ctx-size 128000
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- ```
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-
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- ## Quantized GGUF Models
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-
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- | Name | Quant method | Bits | Size | Use case |
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- | ---- | ---- | ---- | ---- | ----- |
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- | [Qwen2.5-Coder-3B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q2_K.gguf) | Q2_K | 2 | 1.27 GB| smallest, significant quality loss - not recommended for most purposes |
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- | [Qwen2.5-Coder-3B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 1.71 GB| small, substantial quality loss |
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- | [Qwen2.5-Coder-3B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 1.59 GB| very small, high quality loss |
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- | [Qwen2.5-Coder-3B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 1.45 GB| very small, high quality loss |
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- | [Qwen2.5-Coder-3B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 1.82 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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- | [Qwen2.5-Coder-3B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 1.93 GB| medium, balanced quality - recommended |
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- | [Qwen2.5-Coder-3B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 1.83 GB| small, greater quality loss |
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- | [Qwen2.5-Coder-3B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 2.17 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 2.22 GB| large, very low quality loss - recommended |
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- | [Qwen2.5-Coder-3B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 2.17 GB| large, low quality loss - recommended |
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- | [Qwen2.5-Coder-3B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q6_K.gguf) | Q6_K | 6 | 2.54 GB| very large, extremely low quality loss |
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- | [Qwen2.5-Coder-3B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 3.29 GB| very large, extremely low quality loss - not recommended |
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- | [Qwen2.5-Coder-3B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-f16.gguf) | f16 | 16 | 6.18 GB| |
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-
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  *Quantized with llama.cpp b4033*
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-3B-Instruct
3
+ license: other
4
+ license_name: qwen-research
5
+ license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSEE
6
+ model_creator: Qwen
7
+ model_name: Qwen2.5-Coder-3B-Instruct
8
+ pipeline_tag: text-generation
9
+ library_name: transformers
10
+ quantized_by: Second State Inc.
11
+ language:
12
+ - en
13
+ tags:
14
+ - code
15
+ - codeqwen
16
+ - chat
17
+ - qwen
18
+ - qwen-coder
19
+ ---
20
+
21
+ <!-- header start -->
22
+ <!-- 200823 -->
23
+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </div>
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+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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+ <!-- header end -->
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+
29
+ # Qwen2.5-Coder-3B-Instruct-GGUF
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+
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+ ## Original Model
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+
33
+ [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: [v0.14.14](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.14) and above
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+
39
+ - Prompt template
40
+
41
+ - Prompt type: `chatml`
42
+
43
+ - Prompt string
44
+
45
+ ```text
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+ <|im_start|>system
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+ {system_message}<|im_end|>
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+ <|im_start|>user
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+ {prompt}<|im_end|>
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+ <|im_start|>assistant
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+ ```
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+
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+ - Context size: `32000`
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+
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+ - Run as LlamaEdge service
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf \
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+ llama-api-server.wasm \
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+ --model-name Qwen2.5-Coder-3B-Instruct \
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+ --prompt-template chatml \
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+ --ctx-size 32000
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+ ```
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+
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+ - Run as LlamaEdge command app
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf \
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+ llama-chat.wasm \
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+ --prompt-template chatml \
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+ --ctx-size 32000
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+ ```
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
77
+ | ---- | ---- | ---- | ---- | ----- |
78
+ | [Qwen2.5-Coder-3B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q2_K.gguf) | Q2_K | 2 | 1.27 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Qwen2.5-Coder-3B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 1.71 GB| small, substantial quality loss |
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+ | [Qwen2.5-Coder-3B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 1.59 GB| very small, high quality loss |
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+ | [Qwen2.5-Coder-3B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 1.45 GB| very small, high quality loss |
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+ | [Qwen2.5-Coder-3B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 1.82 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Qwen2.5-Coder-3B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 1.93 GB| medium, balanced quality - recommended |
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+ | [Qwen2.5-Coder-3B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 1.83 GB| small, greater quality loss |
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+ | [Qwen2.5-Coder-3B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 2.17 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 2.22 GB| large, very low quality loss - recommended |
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+ | [Qwen2.5-Coder-3B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 2.17 GB| large, low quality loss - recommended |
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+ | [Qwen2.5-Coder-3B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q6_K.gguf) | Q6_K | 6 | 2.54 GB| very large, extremely low quality loss |
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+ | [Qwen2.5-Coder-3B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 3.29 GB| very large, extremely low quality loss - not recommended |
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+ | [Qwen2.5-Coder-3B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-3B-Instruct-GGUF/blob/main/Qwen2.5-Coder-3B-Instruct-f16.gguf) | f16 | 16 | 6.18 GB| |
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+
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  *Quantized with llama.cpp b4033*