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Siglip So400m Patch14 384 GGUF

GGUF conversion of google/siglip-so400m-patch14-384 for use with CrispEmbed.

TipoOtherVersiónRevision 3f5bc6cBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
1,60 GB
Versión
vRevision 3f5bc6c
Actualizado
22 oct 2026
Descargas
92
Fuente
Hugging Face

Descripción de la fuente

SigLIP SoViT-400M/14 Vision Encoder 384px (GGUF)

GGUF conversion of google/siglip-so400m-patch14-384 for use with CrispEmbed.

  • Architecture: SigLIP SoViT-400M/14 vision encoder (shape-optimized)
  • Parameters: 428M
  • Output: 1152-dimensional L2-normalized embeddings
  • Input: 384x384 RGB image with SigLIP normalization (mean=0.5, std=0.5)
  • Patch size: 14
  • Size: ~1.6 GB
  • Source: google/siglip-so400m-patch14-384

Usage

# Embed a single image
crispembed -m siglip-so400m-patch14-384 --image photo.jpg

# Batch processing
crispembed -m siglip-so400m-patch14-384 --image-dir ./photos/ --output embeddings.bin

About SigLIP SoViT-400M

SoViT-400M is a shape-optimized SigLIP variant that redistributes compute across width, depth, and MLP ratio for better efficiency. Combined with 384px input and patch size 14, it provides high-quality vision embeddings.

Notes

  • All output embeddings are L2-normalized.
  • This is a GGUF conversion; weights are numerically equivalent to the original HuggingFace model.

Provenance and EU AI Act Art. 53 note

  • Upstream model: google/siglip-so400m-patch14-384 — published by google.
  • 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/GGML). 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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 3f5bc6cb95ac71dfdb3dbfffe69b5a7c93c2d101
huggingface.co/cstr/siglip-so400m-patch14-384-GGUF/tree/3f5bc6cb95ac71dfdb3dbfffe69b5a7c93c2d101

Verificado 22 oct

Artefactos del modelo

1 artefacto

siglip-so400m-patch14-384.gguf

gguf · 1,60 GB · SHA-256 4cf3cb855beb…8a90 · Hugging Face

Download file

Extractos de fuentes

3 extractos

--- license: apache-2.0 tags: - siglip - vision - gguf - crispembed - image-embedding pipeline_tag: image-feature-extraction library_name: ggml --- # SigLIP SoViT-400M/14 Vision Encoder 384px (GGUF) GGUF conversion of [google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384) for use with [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed). - **Architecture:** SigLIP SoViT-400M/14 vision encoder (shape-optimized) - **Parameters:** 428M - **Output:** 1152-dimensional L2-normalized embeddings - **Input:** 384x384 RGB image with SigLIP normalization (mean=0.5, std=0.5) - **Patch size:** 14 - **Size:** ~1.6 GB - **Source:** google/siglip-so400m-patch14-384 ## Usage ```bash # Embed a single image crispembed -m siglip-so400m-patch14-384 --image photo.jpg # Batch processing crispembed -m siglip-so400m-patch14-384 --image-dir ./photos/ --output embeddings.bin ``` ## About SigLIP SoViT-400M SoViT-400M is a shape-optimized SigLIP variant that redistributes compute across width, depth, and MLP ratio for better efficiency. Combined with 384px input and patch size 14, it provides high-quality vision embeddings. ## Notes - All output embeddings are L2-normalized. - This is a GGUF conversion; weights are numerically equivalent to the original HuggingFace model. ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384) — published by `google`. - **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/GGML). 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...

Source context: 92 downloads · 1 likes · Pipeline image-feature-extraction · Library ggml · Repo cstr/siglip-so400m-patch14-384-GGUF

Source context: 88 downloads · 0 likes · Pipeline image-feature-extraction · Library ggml · Repo cstr/siglip-so400m-patch14-384-GGUF