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- ---
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- base_model: Qwen/Qwen2-VL-72B-Instruct
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- license: other
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- license_name: tongyi-qianwen
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- license_link: https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct/blob/main/LICENSE
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- model_creator: Qwen
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- model_name: Qwen2-VL-72B-Instruct
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- quantized_by: Second State Inc.
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- language:
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- - en
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- pipeline_tag: image-text-to-text
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- tags:
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- - multimodal
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- library_name: transformers
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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-VL-72B-Instruct-GGUF
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-
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- ## Original Model
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-
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- [Qwen/Qwen2-VL-72B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct)
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-
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- ## Run with LlamaEdge
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-
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- - LlamaEdge version: coming soon
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-
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- <!-- - LlamaEdge version: [v0.11.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.11.2)
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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: `131072`
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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-VL-72B-Instruct-Q5_K_M.gguf \
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- llama-api-server.wasm \
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- --model-name Qwen2-VL-72B-Instruct \
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- --prompt-template chatml \
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- --ctx-size 131072
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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-VL-72B-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 131072
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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-VL-72B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q2_K.gguf) | Q2_K | 2 | 29.8 GB| smallest, significant quality loss - not recommended for most purposes |
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- | [Qwen2-VL-72B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 39.5 GB| small, substantial quality loss |
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- | [Qwen2-VL-72B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 37.7 GB| very small, high quality loss |
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- | [Qwen2-VL-72B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 34.5 GB| very small, high quality loss |
80
- | [Qwen2-VL-72B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 41.2 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
81
- | [Qwen2-VL-72B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 47.4 GB| medium, balanced quality - recommended |
82
- | [Qwen2-VL-72B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 43.9 GB| small, greater quality loss |
83
- | [Qwen2-VL-72B-Instruct-Q5_0-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_0-00001-of-00002.gguf) | Q5_0 | 5 | 29.9 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
84
- | [Qwen2-VL-72B-Instruct-Q5_0-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_0-00002-of-00002.gguf) | Q5_0 | 5 | 20.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
85
- | [Qwen2-VL-72B-Instruct-Q5_K_M-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_M-00001-of-00002.gguf) | Q5_K_M | 5 | 29.9 GB| large, very low quality loss - recommended |
86
- | [Qwen2-VL-72B-Instruct-Q5_K_M-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_M-00002-of-00002.gguf) | Q5_K_M | 5 | 24.5 GB| large, very low quality loss - recommended |
87
- | [Qwen2-VL-72B-Instruct-Q5_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_S-00001-of-00002.gguf) | Q5_K_S | 5 | 29.8 GB| large, low quality loss - recommended |
88
- | [Qwen2-VL-72B-Instruct-Q5_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_S-00002-of-00002.gguf) | Q5_K_S | 5 | 21.5 GB| large, low quality loss - recommended |
89
- | [Qwen2-VL-72B-Instruct-Q6_K-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q6_K-00001-of-00003.gguf) | Q6_K | 6 | 29.9 GB| very large, extremely low quality loss |
90
- | [Qwen2-VL-72B-Instruct-Q6_K-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q6_K-00002-of-00003.gguf) | Q6_K | 6 | 29.9 GB| very large, extremely low quality loss |
91
- | [Qwen2-VL-72B-Instruct-Q6_K-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q6_K-00003-of-00003.gguf) | Q6_K | 6 | 4.55 GB| very large, extremely low quality loss |
92
- | [Qwen2-VL-72B-Instruct-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q8_0-00001-of-00003.gguf) | Q8_0 | 8 | 29.9 GB| very large, extremely low quality loss - not recommended |
93
- | [Qwen2-VL-72B-Instruct-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q8_0-00002-of-00003.gguf) | Q8_0 | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
94
- | [Qwen2-VL-72B-Instruct-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q8_0-00003-of-00003.gguf) | Q8_0 | 8 | 17.6 GB| very large, extremely low quality loss - not recommended |
95
- | [Qwen2-VL-72B-Instruct-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00001-of-00005.gguf) | f16 | 16 | 29.9 GB| |
96
- | [Qwen2-VL-72B-Instruct-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00002-of-00005.gguf) | f16 | 16 | 29.7 GB| |
97
- | [Qwen2-VL-72B-Instruct-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00003-of-00005.gguf) | f16 | 16 | 29.7 GB| |
98
- | [Qwen2-VL-72B-Instruct-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00004-of-00005.gguf) | f16 | 16 | 29.5 GB| |
99
- | [Qwen2-VL-72B-Instruct-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00005-of-00005.gguf) | f16 | 16 | 26.6 GB| |
100
- | [Qwen2-VL-72B-Instruct-vision-encoder.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-vision-encoder.gguf) | f16 | 16 | 2.8 GB| |
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-
102
  *Quantized with llama.cpp b4329*
 
1
+ ---
2
+ base_model: Qwen/Qwen2-VL-72B-Instruct
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+ license: other
4
+ license_name: tongyi-qianwen
5
+ license_link: https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct/blob/main/LICENSE
6
+ model_creator: Qwen
7
+ model_name: Qwen2-VL-72B-Instruct
8
+ quantized_by: Second State Inc.
9
+ language:
10
+ - en
11
+ pipeline_tag: image-text-to-text
12
+ tags:
13
+ - multimodal
14
+ library_name: transformers
15
+ ---
16
+
17
+ <!-- header start -->
18
+ <!-- 200823 -->
19
+ <div style="width: auto; margin-left: auto; margin-right: auto">
20
+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
21
+ </div>
22
+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
23
+ <!-- header end -->
24
+
25
+ # Qwen2-VL-72B-Instruct-GGUF
26
+
27
+ ## Original Model
28
+
29
+ [Qwen/Qwen2-VL-72B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct)
30
+
31
+ ## Run with LlamaEdge
32
+
33
+ - LlamaEdge version: [v0.16.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.0)
34
+
35
+ - Prompt template
36
+
37
+ - Prompt type: `qwen2-vision`
38
+
39
+ - Prompt string
40
+
41
+ ```text
42
+ <|im_start|>system
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+ {system_prompt}<|im_end|>
44
+ <|im_start|>user
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+ <|vision_start|>{image_placeholder}<|vision_end|>{user_prompt}<|im_end|>
46
+ <|im_start|>assistant
47
+ ```
48
+
49
+ - Context size: `128000`
50
+
51
+ - Run as LlamaEdge service
52
+
53
+ ```bash
54
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2-VL-72B-Instruct-Q5_K_M.gguf \
55
+ llama-api-server.wasm \
56
+ --model-name Qwen2-VL-72B-Instruct \
57
+ --prompt-template qwen2-vision \
58
+ --llava-mmproj Qwen2-VL-72B-Instruct-vision-encoder.gguf \
59
+ --ctx-size 128000
60
+ ```
61
+
62
+ ## Quantized GGUF Models
63
+
64
+ | Name | Quant method | Bits | Size | Use case |
65
+ | ---- | ---- | ---- | ---- | ----- |
66
+ | [Qwen2-VL-72B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q2_K.gguf) | Q2_K | 2 | 29.8 GB| smallest, significant quality loss - not recommended for most purposes |
67
+ | [Qwen2-VL-72B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 39.5 GB| small, substantial quality loss |
68
+ | [Qwen2-VL-72B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 37.7 GB| very small, high quality loss |
69
+ | [Qwen2-VL-72B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 34.5 GB| very small, high quality loss |
70
+ | [Qwen2-VL-72B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 41.2 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
71
+ | [Qwen2-VL-72B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 47.4 GB| medium, balanced quality - recommended |
72
+ | [Qwen2-VL-72B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 43.9 GB| small, greater quality loss |
73
+ | [Qwen2-VL-72B-Instruct-Q5_0-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_0-00001-of-00002.gguf) | Q5_0 | 5 | 29.9 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
74
+ | [Qwen2-VL-72B-Instruct-Q5_0-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_0-00002-of-00002.gguf) | Q5_0 | 5 | 20.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
75
+ | [Qwen2-VL-72B-Instruct-Q5_K_M-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_M-00001-of-00002.gguf) | Q5_K_M | 5 | 29.9 GB| large, very low quality loss - recommended |
76
+ | [Qwen2-VL-72B-Instruct-Q5_K_M-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_M-00002-of-00002.gguf) | Q5_K_M | 5 | 24.5 GB| large, very low quality loss - recommended |
77
+ | [Qwen2-VL-72B-Instruct-Q5_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_S-00001-of-00002.gguf) | Q5_K_S | 5 | 29.8 GB| large, low quality loss - recommended |
78
+ | [Qwen2-VL-72B-Instruct-Q5_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q5_K_S-00002-of-00002.gguf) | Q5_K_S | 5 | 21.5 GB| large, low quality loss - recommended |
79
+ | [Qwen2-VL-72B-Instruct-Q6_K-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q6_K-00001-of-00003.gguf) | Q6_K | 6 | 29.9 GB| very large, extremely low quality loss |
80
+ | [Qwen2-VL-72B-Instruct-Q6_K-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q6_K-00002-of-00003.gguf) | Q6_K | 6 | 29.9 GB| very large, extremely low quality loss |
81
+ | [Qwen2-VL-72B-Instruct-Q6_K-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q6_K-00003-of-00003.gguf) | Q6_K | 6 | 4.55 GB| very large, extremely low quality loss |
82
+ | [Qwen2-VL-72B-Instruct-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q8_0-00001-of-00003.gguf) | Q8_0 | 8 | 29.9 GB| very large, extremely low quality loss - not recommended |
83
+ | [Qwen2-VL-72B-Instruct-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q8_0-00002-of-00003.gguf) | Q8_0 | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
84
+ | [Qwen2-VL-72B-Instruct-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-Q8_0-00003-of-00003.gguf) | Q8_0 | 8 | 17.6 GB| very large, extremely low quality loss - not recommended |
85
+ | [Qwen2-VL-72B-Instruct-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00001-of-00005.gguf) | f16 | 16 | 29.9 GB| |
86
+ | [Qwen2-VL-72B-Instruct-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00002-of-00005.gguf) | f16 | 16 | 29.7 GB| |
87
+ | [Qwen2-VL-72B-Instruct-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00003-of-00005.gguf) | f16 | 16 | 29.7 GB| |
88
+ | [Qwen2-VL-72B-Instruct-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00004-of-00005.gguf) | f16 | 16 | 29.5 GB| |
89
+ | [Qwen2-VL-72B-Instruct-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-f16-00005-of-00005.gguf) | f16 | 16 | 26.6 GB| |
90
+ | [Qwen2-VL-72B-Instruct-vision-encoder.gguf](https://huggingface.co/second-state/Qwen2-VL-72B-Instruct-GGUF/blob/main/Qwen2-VL-72B-Instruct-vision-encoder.gguf) | f16 | 16 | 2.8 GB| |
91
+
 
 
 
 
 
 
 
 
 
 
92
  *Quantized with llama.cpp b4329*