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Ernie Research

ernie-research

Large Language Models

Models in Library1
Datasets in Library0
Models on Hugging Face15
Followers52

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Feature extraction.

Reported licenses: mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Feature extraction

CoVisco-L-14

Ernie Research

CoVisco-L-14 is the Stage 1 vision encoder of the CoVisco pipeline (Codec-Native Vision Encoder with Native Token Compression for Efficient Unified Visual Understanding). It encodes images and videos in a unified way and is trained by SigLIP-style distillation against two teacher branches. This repository releases only the vision-encoder weights in the safe.safetensors format, together with the minimal model code and a self-contained loader. The model is a transformers.PreTrainedModel and is loadable via frompretrained (see below). - 4D RoPE (ropetheta=10000) for spatio-temporal positions - Three projection heads (each LayerNorm + Linear, output L2-normalized): - toimagecaption → 1536-d…

Open weights mit 639M parameters pytorch