Model overview
Re-exports of perplexity-ai/pplx-embed-v1-0.6B (revision `2c4d510d`) with **standard ONNX operators**, usable by Transformers.js / ONNX Runtime Web (WASM and WebGPU) and ONNX Runtime Node. The official ONNX files use `GatherBlockQuantized`, which ORT Web cannot load. Pooling: masked mean over `last_hidden_state` (identical to the official `pooler_output`), then L2, then Matryoshka truncation to 256 dims and L2 again, as in the Deposium stack. Measurements: 38 texts in 6 languages (10 to 218 tokens) with ONNX Runtime 1.25 CPU, plus 8 texts (up to 512 tokens) in Chrome 152 with Transformers.js 4.3.0 / ORT Web 1.31-dev on an RTX 5060 (WebGPU) and on WASM. Full report, scripts and raw results: deposium-turbov3 `docs/2026-09-17-browser-embedding-t1-weight-only-reexport.md`.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。