AMAImedia/NOESIS-MiniCPM-V-4.6-SigLIP2-ONNX-INT8

NOESIS / AMAImedia

Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).

• —Founder: Ilia Bolotnikov
• —Organization: AMAImedia.com
• —X (Twitter): @AMAImediacom
• —LinkedIn: Ilia Bolotnikov
• —Telegram: @djbionicl
• —NOESIS version: v15.9
• —Release date: 2026-05

Last updated: 2026-08-28

NOESIS-MiniCPM-V-4.6-SigLIP2-ONNX-INT8

INT8 ONNX deployment variant of the SigLIP2 vision encoder extracted from MiniCPM-V-4.6. This auxiliary vision feature extractor supports cinema-dubbing pipeline diagnostics such as poster-art preparation, scene-reference-frame tagging, and key-frame cross-checks. It is not wired into the audio dubbing core under R-DUBBING-FILM-SCOPE / SCOPE LOCK.

NOESIS provenance

================================================================================ Architecture ================================================================================

================================================================================ Bundle Contents ================================================================================

.
├── README.md
├── LICENSE                          # Apache-2.0 + NOESIS notice
├── config.json                      # vision encoder config
├── preprocessor_config.json         # image preprocessor (resize/normalize)
├── chat_template.jinja              # carried over from MiniCPM-V chat template
└── vision_encoder_int8.onnx         # INT8 quantized weights (~465 MB)

================================================================================ Family ================================================================================

================================================================================ Quick Start (onnxruntime) ================================================================================

import onnxruntime as ort
from transformers import AutoImageProcessor
from PIL import Image
import numpy as np

BUNDLE = ("B:/Downloads/Portable/NOESIS-VC-ONE/models/llm/"
          "NOESIS-3.5B-A0.5B-DUBBING-FILM/"
          "NOESIS-MiniCPM-V-4.6-SigLIP2-ONNX-INT8")

proc = AutoImageProcessor.from_pretrained(BUNDLE)
sess = ort.InferenceSession(f"{BUNDLE}/vision_encoder_int8.onnx",
                            providers=["CPUExecutionProvider"])

img = Image.open("scene.png").convert("RGB")
pixel_values = proc(img, return_tensors="np")["pixel_values"]
features = sess.run(None, {"pixel_values": pixel_values})[0]

================================================================================ NOESIS Sealed Rules ================================================================================

R-APACHE-CLEAN Upstream MiniCPM-V Apache-2.0 preserved verbatim in LICENSE. Commercial use permitted.

R-VENDORED-INTERNAL Internal vendor copy inside parent NOESIS-3.5B-A0.5B-DUBBING-FILM bundle.

R-DUBBING-FILM-SCOPE Auxiliary vision encoder — NOT in the core audio dubbing pipeline (SCOPE LOCK 2026-05-15: NOESIS core scope = audio dubbing).

R-NOESIS-FINAL-ARTIFACT-PATHS Canonical path: models/llm/NOESIS-3.5B-A0.5B-DUBBING-FILM/NOESIS-MiniCPM-V-4.6-SigLIP2-ONNX-INT8/

R-NEVER-DELETE-WITHOUT-EXPLICIT-CONSENT Sealed 2026-05-21.

================================================================================ Upstream Citation ================================================================================

Upstream: https://huggingface.co/openbmb/MiniCPM-V-4_5 GitHub: https://github.com/OpenBMB/MiniCPM-V

================================================================================

NOESIS — Deterministic Hybrid Control Framework for Frozen Neural Operators (DHCF-FNO). Copyright (c) 2026 AMAImedia.com. All rights reserved.