---
base_model: openbmb/MiniCPM-Llama3-V-2_5
model_creator: openbmb
model_name: MiniCPM-Llama3-V-2_5
quantized_by: Second State Inc.
pipeline_tag: visual-question-answering
language:
- en
- zh
---

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# MiniCPM-Llama3-V-2_5-GGUF

## Original Model

[openbmb/MiniCPM-Llama3-V-2_5](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5)

## Run with LlamaEdge

- LlamaEdge version: coming soon

<!-- - LlamaEdge version: [v0.14.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.0) and above

- Prompt template

  - Prompt type: `phi-3-chat`

  - Prompt string

    ```text
    <|system|>
    {system_message}<|end|>
    <|user|>
    {user_message_1}<|end|>
    <|assistant|>
    {assistant_message_1}<|end|>
    <|user|>
    {user_message_2}<|end|>
    <|assistant|>
    ```

- Context size: `128000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:MiniCPM-Llama3-V-2_5-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template phi-3-chat \
    --ctx-size 128000 \
    --model-name phi-3-mini
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:MiniCPM-Llama3-V-2_5-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template phi-3-chat \
    --ctx-size 128000
  ``` -->

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [MiniCPM-Llama3-V-2_5-Q2_K.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
| [MiniCPM-Llama3-V-2_5-Q3_K_L.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
| [MiniCPM-Llama3-V-2_5-Q3_K_M.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
| [MiniCPM-Llama3-V-2_5-Q3_K_S.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
| [MiniCPM-Llama3-V-2_5-Q4_0.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [MiniCPM-Llama3-V-2_5-Q4_K_M.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
| [MiniCPM-Llama3-V-2_5-Q4_K_S.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
| [MiniCPM-Llama3-V-2_5-Q5_0.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q5_0.gguf)     | Q5_0   | 5 | 5.60 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [MiniCPM-Llama3-V-2_5-Q5_K_M.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
| [MiniCPM-Llama3-V-2_5-Q5_K_S.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q5_K_S.gguf) | Q5_K_S | 5 | 5.60 GB| large, low quality loss - recommended |
| [MiniCPM-Llama3-V-2_5-Q6_K.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q6_K.gguf)     | Q6_K   | 6 | 6.60 GB| very large, extremely low quality loss |
| [MiniCPM-Llama3-V-2_5-Q8_0.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
| [MiniCPM-Llama3-V-2_5-f16.gguf](https://huggingface.co/second-state/MiniCPM-Llama3-V-2_5-GGUF/blob/main/MiniCPM-Llama3-V-2_5-f16.gguf)       | f16   | 16 | 16.1 GB|  |

*Quantized with llama.cpp b3613.*