mixedbread-ai / feature-extraction Open weights updated 1 year ago

deepset-mxbai-embed-de-large-v1

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Params
487 M
Context
512
Downloads 30d
504 K
Likes
61
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

daily snapshots · 14 days
504 K354 K
Oct 28Nov 1Nov 6Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f16 1.0 GB 1.6 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture
XLMRobertaModel
Parameters
487 M
Tensor type
F16
Context length
512
Vocabulary
178,885
Layers / heads
24 / 16
Licence
apache-2.0
First seen on the Hub
2024-07-12
Training datasets
undisclosed
Added to our catalog
2026-10-28
Compare with any feature-extraction model