langcache-embed-v1
This is a sentence-transformers model finetuned from Alibaba-NLP/gte-modernbert-base on the Quora dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity for the purpose of semantic caching.
Params
149 M
Context
8,192
Downloads 30d
514 K
Likes
16
Download history
daily snapshots · 10 days514 K381 K
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.6 GB | 1.2 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
- ModernBertModel
- Parameters
- 149 M
- Tensor type
- F32
- Context length
- 8,192
- Vocabulary
- 50,368
- Layers / heads
- 22 / 12
- First seen on the Hub
- 2025-03-21
- Training datasets
- undisclosed
- Quora (reported)
- 0.92
- Added to our catalog
- 2026-11-01
Compare with any sentence-similarity model