File size: 4,335 Bytes
ecf7267
3927150
 
 
 
 
 
 
 
ecf7267
3927150
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
---

base_model: openbmb/MiniCPM-V-4_5
model_creator: openbmb
model_name: MiniCPM-V-4_5
quantized_by: Second State Inc.
pipeline_tag: visual-question-answering
language:
- en
- zh
---


<!-- 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 -->

# MiniCPM-V-4_5-GGUF



## Original Model



[openbmb/MiniCPM-V-4_5](https://huggingface.co/openbmb/MiniCPM-V-4_5)



## Run with LlamaEdge



- LlamaEdge version: coming soon



<!-- - LlamaEdge version: [v0.25.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.25.1) and above -->



- Prompt template



  - Prompt type: `minicpmv`



  - Prompt string



    ```text

    <|system|>

    {system_message}<|end|>
    <|user|>

    {user_message_1}<|end|>

    <|assistant|>

    {assistant_message_1}<|end|>

    <|user|>

    {user_message_2}<|end|>

    <|assistant|>

    ```


    The `{user_message_n}` has the format: `{image_base64_encoding_string}\n{user_question}`.


- Context size: `128000`

- Run as LlamaEdge service

  ```bash

  wasmedge --dir .:. \

    --nn-preload default:GGML:AUTO:MiniCPM-V-4_5-Q5_K_M.gguf \

    llama-api-server.wasm \

    --prompt-template minicpmv \

    --ctx-size 128000 \

    --llava-mmproj MiniCPM-V-4_5-mmproj-f16.gguf \

    --model-name minicpmv-26

  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [MiniCPM-V-4_5-Q2_K.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q2_K.gguf)     | Q2_K   | 2 | 3.28 GB| smallest, significant quality loss - not recommended for most purposes |

| [MiniCPM-V-4_5-Q3_K_L.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q3_K_L.gguf) | Q3_K_L | 3 | 4.43 GB| small, substantial quality loss |

| [MiniCPM-V-4_5-Q3_K_M.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q3_K_M.gguf) | Q3_K_M | 3 | 4.12 GB| very small, high quality loss |

| [MiniCPM-V-4_5-Q3_K_S.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q3_K_S.gguf) | Q3_K_S | 3 | 3.77 GB| very small, high quality loss |

| [MiniCPM-V-4_5-Q4_0.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q4_0.gguf)     | Q4_0   | 4 | 4.77 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [MiniCPM-V-4_5-Q4_K_M.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q4_K_M.gguf) | Q4_K_M | 4 | 5.03 GB| medium, balanced quality - recommended |
| [MiniCPM-V-4_5-Q4_K_S.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q4_K_S.gguf) | Q4_K_S | 4 | 4.80 GB| small, greater quality loss |
| [MiniCPM-V-4_5-Q5_0.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q5_0.gguf)     | Q5_0   | 5 | 5.72 GB| legacy; medium, balanced quality - prefer using Q4_K_M |

| [MiniCPM-V-4_5-Q5_K_M.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q5_K_M.gguf) | Q5_K_M | 5 | 5.85 GB| large, very low quality loss - recommended |

| [MiniCPM-V-4_5-Q5_K_S.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q5_K_S.gguf) | Q5_K_S | 5 | 5.72 GB| large, low quality loss - recommended |

| [MiniCPM-V-4_5-Q6_K.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q6_K.gguf)     | Q6_K   | 6 | 6.72 GB| very large, extremely low quality loss |
| [MiniCPM-V-4_5-Q8_0.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-Q8_0.gguf)     | Q8_0   | 8 | 8.71 GB| very large, extremely low quality loss - not recommended |

| [MiniCPM-V-4_5-f16.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-f16.gguf)       | f16   | 16 | 16.4 GB|  |

| [MiniCPM-V-4_5-mmproj-f16.gguf](https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF/blob/main/MiniCPM-V-4_5-mmproj-f16.gguf)       | f16   | 16 | 1.10 GB|  |



*Quantized with llama.cpp b6301.*