cstr/internvl2-1b-crispembed-GGUF
0160
InternVL2-1B — CrispEmbed GGUF
GGUF conversions of OpenGVLab/InternVL2-1B for use with CrispEmbed.
Smallest competitive VLM for OCR — ideal for edge, mobile, and WASM deployment.
Model Details
Available Quantizations
Parity Verification
All components verified against Python reference (cos=1.000000):
- Vision encoder: 4/4 layers PASS
- Projector: PASS
- LLM decoder (Qwen2): 2/2 layers PASS
Credits
- Original model: OpenGVLab/InternVL2-1B (MIT)
- GGUF conversion: CrispEmbed
Provenance and EU AI Act Art. 53 note
- Upstream model: OpenGVLab/InternVL2-1B — published by
OpenGVLab. - Upstream licence:
mit. 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.
