jev-agnews-lora
hammamwahabDecision modelOpen weights
jev-agnews-lora by hammamwahab 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
- hammamwahab
- Parameters
- —
- Released
- Sep 2026
- Open weights
- Yes
- Question types
- —
- Mechanism
- Decoder LM with a decision readout
- Backbone
- Qwen/Qwen3.5-0.8B
- Jev-compatible request
- No
- Runs on CPU
- —
- License
- —
- Hugging Face
- hammamwahab/jev-agnews-lora
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FAQ
How much does jev-agnews-lora cost?
jev-agnews-lora has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can jev-agnews-lora answer?
jev-agnews-lora answers typed questions about a piece of text, returning a probability for each allowed answer.
Is jev-agnews-lora well calibrated?
No calibration measurement for jev-agnews-lora is recorded yet.
Is jev-agnews-lora open weight, and can it run on a CPU?
Yes, jev-agnews-lora has open weights.
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.