SkyContact/VJEPA2-ViT-L-fpc64-256-GGUF

feature-extraction model by SkyContact

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facebook/vjepa2-vitl-fpc64-256 的 GGUF 版本,由自研推理引擎 SkyVision.cpp(纯 ggml,无 llama.cpp 依赖)转换并逐级对拍验证。 权重原样保留(encoder F16),没有任何训练。 一个文件装全部权重:24 层 encoder + predictor,predictor 用 --mode predict 驱动。 结构(与官方 transformers VJEPA2Model 逐 op 对齐): 64 帧 × 256² → 8192 个 token 20(时间)+ 20(高)+ 20(宽)+ 4(不旋转),位置取自 token 的 (t', h', w') 网格 → LN → 反排序取 target token →…

SkyContact/VJEPA2-ViT-L-fpc64-256-GGUF on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. V-JEPA 2 ViT-L (fpc64-256) GGUF
  2. 文件
  3. 模型做了什么
  4. 使用
  5. 精度验证(vs 官方 transformers 5.x 实现)
  6. 已知限制
  7. 许可

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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

SkyContact/VJEPA2-ViT-L-fpc64-256-GGUF is a feature-extraction model repository published by SkyContact on Hugging Face. The source reports the gguf library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
feature-extraction
Library
gguf
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
mit
Access
Not gated by Hugging Face
Created
2026-10-19T06:08:23.000Z
Last modified
2026-10-19T06:09:14.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: facebook/vjepa2-vitl-fpc64-256

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-19T06:43:13.200Z. Daily imports are snapshots, not real-time monitoring.

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