SkyContact/VJEPA2-ViT-L-fpc16-256-SSv2-GGUF
video-classification model by SkyContact
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Model card & documentation
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facebook/vjepa2-vitl-fpc16-256-ssv2 的 GGUF 版本: V-JEPA 2 ViT-L 在 Something-Something v2 上微调得到的 174 类视频动作分类模型, 由自研推理引擎 SkyVision.cpp(纯 ggml)转换并逐级对拍验证。 174 个 SSv2 标签随权重写进 GGUF(vjepa2.labels),--mode N 直接打印标签名,不需要外挂 id2label。 再用一个学出来的 query token 对全序列做 cross attention(该 cross attention 没有输出投影, 上游如此),query 残差进 MLP;输出 1024 维 getvisionfeatures 一致),不再走 mean pooling MLP…
Read the full model card ↗ · Preview checked 2026-10-28T03:00:49.806Z
Inside the original model card — Document outline
- V-JEPA 2 ViT-L (fpc16-256, SSv2) GGUF
- 文件
- 结构差异(相对 fpc64-256 预训练版)
- 使用
- 精度验证(vs 官方 transformers 5.x 实现)
- 已知限制
- 许可
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Model overview
SkyContact/VJEPA2-ViT-L-fpc16-256-SSv2-GGUF is a video-classification 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
- video-classification
- 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
- 2026-10-19T06:09:58.000Z
- Last modified
- 2026-10-19T06:10:09.000Z
Compatibility and lineage
Reported languages: en
Reported base models: facebook/vjepa2-vitl-fpc16-256-ssv2
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.
Use and evaluate
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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.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.