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MiniCPM V 4 OpenVINO INT4

This repository contains the OpenVINO IR format of the openbmb/MiniCPM-V-4 model, heavily optimized for CPU inference.

KindOtherBase modelopenbmb/MiniCPM-V-4VersionRevision a4fe669Bgrade

Model source

Kind
Other
File size
1.04 MB–1.74 GB
Base model
openbmb/MiniCPM-V-4
Version
vRevision a4fe669
Updated
Oct 12, 2026
Downloads
8
Source
Hugging Face

Source description

MiniCPM-V-4 OpenVINO INT4 (Preserved FP16 Vision)

This repository contains the OpenVINO IR format of the openbmb/MiniCPM-V-4 model, heavily optimized for CPU inference.

Optimization Details

To ensure optimal performance without sacrificing multimodal capabilities, a selective quantization strategy was applied:

  • Language Model (LLM): Quantized to INT4 (Asymmetric, Group Size 128) for maximum memory efficiency and CPU inference speed.
  • Vision Encoder & Resampler: Preserved in FP16. This surgical approach ensures that the model's visual acuity (including text recognition, UI elements, and fine details) remains identical to the original unquantized model.

Hardware Targeting

This format is designed to run efficiently on standard CPUs, fully utilizing AVX-512 and VNNI instruction sets (e.g., Intel Ice Lake and newer) without requiring dedicated GPU hardware.

Sources

1 source
Hugging FacePrimaryVersion a4fe669850274ceccbf2e43ce7ad3b068f74e1ba
huggingface.co/HyX3/MiniCPM-V-4-OpenVINO-INT4/tree/a4fe669850274ceccbf2e43ce7ad3b068f74e1ba

Verified Aug 27

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Model artifacts

6 artifacts

openvino_detokenizer.bin

bin · 1.04 MB · SHA-256 7c68a1ca7774…4e6c · Hugging Face

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openvino_language_model.bin

bin · 1.74 GB · SHA-256 4551b02f05a8…9d38 · Hugging Face

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openvino_resampler_model.bin

bin · 68.5 MB · SHA-256 fa6255a55e57…691a · Hugging Face

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openvino_text_embeddings_model.bin

bin · 359 MB · SHA-256 2a039d1d977b…7881 · Hugging Face

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openvino_tokenizer.bin

bin · 3.38 MB · SHA-256 4937da658344…a1b1 · Hugging Face

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openvino_vision_embeddings_model.bin

bin · 797 MB · SHA-256 0cabc71c2bb7…74ce · Hugging Face

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Source excerpts

2 excerpts

--- base_model: openbmb/MiniCPM-V-4 base_model_relation: quantized quantized_by: HyX3 license: apache-2.0 tags: - quantization - openvino - int4 - vision - multimodal - minicpm pipeline_tag: image-to-text --- # MiniCPM-V-4 OpenVINO INT4 (Preserved FP16 Vision) This repository contains the OpenVINO IR format of the `openbmb/MiniCPM-V-4` model, heavily optimized for CPU inference. ## Optimization Details To ensure optimal performance without sacrificing multimodal capabilities, a selective quantization strategy was applied: - **Language Model (LLM):** Quantized to **INT4** (Asymmetric, Group Size 128) for maximum memory efficiency and CPU inference speed. - **Vision Encoder & Resampler:** Preserved in **FP16**. This surgical approach ensures that the model's visual acuity (including text recognition, UI elements, and fine details) remains identical to the original unquantized model. ## Hardware Targeting This format is designed to run efficiently on standard CPUs, fully utilizing AVX-512 and VNNI instruction sets (e.g., Intel Ice Lake and newer) without requiring dedicated GPU hardware.

Source context: 8 downloads · 0 likes · Pipeline image-to-text · Repo HyX3/MiniCPM-V-4-OpenVINO-INT4