granite-vision-crispembed-GGUF

Granite Vision 3.3-2B — CrispEmbed GGUF

GGUF conversion of ibm-granite/granite-vision-3.3-2b for CrispEmbed.

OCRBench 852 — highest score for models ≤3B parameters.

Architecture

• Vision: SigLIP ViT-SO400M (27 layers, 1152d, 384px, multi-layer features [-24,-20,-12,-1])
• Projector: 2-layer MLP (4×1152 → 2048)
• LLM: Granite-3.1-2B (40 layers, 2048d, GQA 32/8)
  • embedding_multiplier=12.0, residual_multiplier=0.22, logits_scaling=8.0

Models

Parity

Vision encoder + projector verified via crispembed-diff:

• vis_features_concat: cos_min=0.999990
• projector: cos_min=0.999972

Usage

crispembed --ocr granite-vision-3.3-2b-q8_0.gguf document.png

License

Apache-2.0 (ibm-granite/granite-vision-3.3-2b)

Provenance and EU AI Act Art. 53 note

• Upstream model: ibm-granite/granite-vision-3.3-2b — published by ibm-granite.
• Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
• Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.