second-state / MiniCPM-V-4_5-GGUF

huggingface.co
Total runs: 573
24-hour runs: 0
7-day runs: -107
30-day runs: -107
Model's Last Updated: August 28 2025
visual-question-answering

Introduction of MiniCPM-V-4_5-GGUF

Model Details of MiniCPM-V-4_5-GGUF


MiniCPM-V-4_5-GGUF

Original Model

openbmb/MiniCPM-V-4_5

Run with LlamaEdge
  • LlamaEdge version: coming soon
  • 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_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 Q2_K 2 3.28 GB smallest, significant quality loss - not recommended for most purposes
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 Q3_K_M 3 4.12 GB very small, high quality loss
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 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 Q4_K_M 4 5.03 GB medium, balanced quality - recommended
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 Q5_0 5 5.72 GB legacy; medium, balanced quality - prefer using Q4_K_M
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 Q5_K_S 5 5.72 GB large, low quality loss - recommended
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 Q8_0 8 8.71 GB very large, extremely low quality loss - not recommended
MiniCPM-V-4_5-f16.gguf f16 16 16.4 GB
MiniCPM-V-4_5-mmproj-f16.gguf f16 16 1.10 GB

Quantized with llama.cpp b6301.

Runs of second-state MiniCPM-V-4_5-GGUF on huggingface.co

573
Total runs
0
24-hour runs
-7
3-day runs
-107
7-day runs
-107
30-day runs

More Information About MiniCPM-V-4_5-GGUF huggingface.co Model

MiniCPM-V-4_5-GGUF huggingface.co

MiniCPM-V-4_5-GGUF huggingface.co is an AI model on huggingface.co that provides MiniCPM-V-4_5-GGUF's model effect (), which can be used instantly with this second-state MiniCPM-V-4_5-GGUF model. huggingface.co supports a free trial of the MiniCPM-V-4_5-GGUF model, and also provides paid use of the MiniCPM-V-4_5-GGUF. Support call MiniCPM-V-4_5-GGUF model through api, including Node.js, Python, http.

second-state MiniCPM-V-4_5-GGUF online free

MiniCPM-V-4_5-GGUF huggingface.co is an online trial and call api platform, which integrates MiniCPM-V-4_5-GGUF's modeling effects, including api services, and provides a free online trial of MiniCPM-V-4_5-GGUF, you can try MiniCPM-V-4_5-GGUF online for free by clicking the link below.

second-state MiniCPM-V-4_5-GGUF online free url in huggingface.co:

https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF

MiniCPM-V-4_5-GGUF install

MiniCPM-V-4_5-GGUF is an open source model from GitHub that offers a free installation service, and any user can find MiniCPM-V-4_5-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of MiniCPM-V-4_5-GGUF install, users can directly use MiniCPM-V-4_5-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

MiniCPM-V-4_5-GGUF install url in huggingface.co:

https://huggingface.co/second-state/MiniCPM-V-4_5-GGUF

Url of MiniCPM-V-4_5-GGUF

MiniCPM-V-4_5-GGUF huggingface.co Url

Provider of MiniCPM-V-4_5-GGUF huggingface.co

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