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JevEmbed-Qwen3-Embedding-4B

HIT-TMGDecision modelOpen weights

JevEmbed-Qwen3-Embedding-4B by HIT-TMG is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text.

Pricing

No hosted price is listed. The weights are open: the cost is your own compute.

Specifications

Provider
HIT-TMG
Parameters
4B
Released
Sep 2026
Open weights
Yes
Question types
—
Mechanism
Decoder LM with a decision readout
Backbone
Qwen/Qwen3-Embedding-4B
Jev-compatible request
No
Runs on CPU
No
License
apache-2.0
Hugging Face
HIT-TMG/JevEmbed-Qwen3-Embedding-4B

Compare JevEmbed-Qwen3-Embedding-4B with…

JevEmbed-Qwen3-Embedding-4B vs amos-1-large—/1M inJevEmbed-Qwen3-Embedding-4B vs amos-1-medium—/1M inJevEmbed-Qwen3-Embedding-4B vs Celeris-1 Decision$0.04/1M inJevEmbed-Qwen3-Embedding-4B vs ScaleDown Classify-1$0.04/1M inJevEmbed-Qwen3-Embedding-4B vs Cloudflare clef—/1M inJevEmbed-Qwen3-Embedding-4B vs Cloudflare clef-flash—/1M in

FAQ

How much does JevEmbed-Qwen3-Embedding-4B cost?

JevEmbed-Qwen3-Embedding-4B has no hosted price listed; its weights are open, so the cost is the compute you run it on.

What questions can JevEmbed-Qwen3-Embedding-4B answer?

JevEmbed-Qwen3-Embedding-4B answers typed questions about a piece of text, returning a probability for each allowed answer.

Is JevEmbed-Qwen3-Embedding-4B well calibrated?

No calibration measurement for JevEmbed-Qwen3-Embedding-4B is recorded yet.

Is JevEmbed-Qwen3-Embedding-4B open weight, and can it run on a CPU?

Yes, JevEmbed-Qwen3-Embedding-4B has open weights. It needs a GPU to run at useful speed.

Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.