MiniCPM-V-4-GGUF

second-state/MiniCPM-V-4-GGUF

MiniCPM-V-4-GGUF is a visual question answering model from second-state. Use it for the visual question answering task on the model card, and read the license before you ship it in a product.

<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…

Downloads · 30 days

9.4K

56% of all-time downloads

All-time downloads

16.8K

Public

Repo size

35.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf35.7 GB · 100%

At a glance

Task: Visual Question Answering
Model type: minicpmv
Access: Public
Created: Aug 13, 2025
Updated: Aug 28, 2025
SHA: e33128a8

Base models

openbmb/MiniCPM-V-4

Spaces

tardellirs/model-pulse

Model card

From the Hugging Face model README

<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;">

MiniCPM-V-4-GGUF

Original Model

openbmb/MiniCPM-V-4

Run with LlamaEdge

LlamaEdge version: v0.25.1 and above

Prompt template

Prompt type: minicpmv

Prompt string

<|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

wasmedge --dir .:. \
  --nn-preload default:GGML:AUTO:MiniCPM-V-4-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template minicpmv \
  --ctx-size 128000 \
  --llava-mmproj MiniCPM-V-4-mmproj-f16.gguf \
  --model-name minicpmv-26

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
MiniCPM-V-4-Q2_K.gguf	Q2_K	2	1.40 GB	smallest, significant quality loss - not recommended for most purposes
MiniCPM-V-4-Q3_K_L.gguf	Q3_K_L	3	1.93 GB	small, substantial quality loss
MiniCPM-V-4-Q3_K_M.gguf	Q3_K_M	3	1.79 GB	very small, high quality loss
MiniCPM-V-4-Q3_K_S.gguf	Q3_K_S	3	1.63 GB	very small, high quality loss
MiniCPM-V-4-Q4_0.gguf	Q4_0	4	2.08 GB	legacy; small, very high quality loss - prefer using Q3_K_M
MiniCPM-V-4-Q4_K_M.gguf	Q4_K_M	4	2.19 GB	medium, balanced quality - recommended
MiniCPM-V-4-Q4_K_S.gguf	Q4_K_S	4	2.09 GB	small, greater quality loss
MiniCPM-V-4-Q5_0.gguf	Q5_0	5	2.51 GB	legacy; medium, balanced quality - prefer using Q4_K_M
MiniCPM-V-4-Q5_K_M.gguf	Q5_K_M	5	2.56 GB	large, very low quality loss - recommended
MiniCPM-V-4-Q5_K_S.gguf	Q5_K_S	5	2.51 GB	large, low quality loss - recommended
MiniCPM-V-4-Q6_K.gguf	Q6_K	6	2.96 GB	very large, extremely low quality loss
MiniCPM-V-4-Q8_0.gguf	Q8_0	8	3.83 GB	very large, extremely low quality loss - not recommended
MiniCPM-V-4-f16.gguf	f16	16	7.21 GB
MiniCPM-V-4-mmproj-f16.gguf	f16	16	959 MB

Quantized with llama.cpp b6138.

Task: Visual Question Answering
Type: minicpmv
Languages: en, zh
Created: Aug 13, 2025
Updated: Aug 28, 2025