pplx-embed-v1-0.6b
pplx-embed-v1 and pplx-embed-context-v1 are state-of-the-art text embedding models optimized for real-world, web-scale retrieval tasks.
Params
600 M
Context
32,768
Downloads 30d
461 K
Likes
225
Download history
daily snapshots · 10 days461 K461 K
Jul 28Jul 31Aug 3Aug 6
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 | 2.4 GB | 3.2 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 2.4 GB | 3.5 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
- PPLXQwen3Model
- Parameters
- 600 M
- Tensor type
- F32
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 28 / 16
- Licence
- mit
- First seen on the Hub
- 2026-01-14
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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