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An open-weight alternative to Jev built on Qwen3.5-4B with a merged LoRA. It answers yes/no, Choice and Score questions with a probability for every option in one forward pass, and its runtime serves a TypeSafe-style API. English only; questions with more than 16 options are read in several passes.
A workable 4.21B-parameter dense decision model from allebee. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing. Currently trending on Hugging Face — community interest is climbing.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
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Benchmark data sourced from: Hugging Face, Arena.ai, Artificial Analysis.
The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| ACEMAGIC M1A Pro (i9-13900HK + ARC A770)ACEMAGIC | SS | 3.1 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 3.1 GB |
| AI TOP ATOM ATAGB10-9003Gigabyte | SS | 3.1 GB |
| AMD Instinct MI300XAMD | SS | 3.1 GB |
| AMD Instinct MI325XAMD | SS | 3.1 GB |
Cheapest current cloud rentals with at least 3 GB VRAM, refreshed hourly.
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| Option | Cost / GPU-hour |
|---|---|
NVIDIA GeForce RTX 3060Vast.ai · Spot · 12 GB VRAM | $0.04 |
NVIDIA GeForce RTX 3060Vast.ai · On-Demand · 12 GB VRAM | $0.04 |
NVIDIA GeForce RTX 3080 TiVast.ai · Spot · 12 GB VRAM | $0.04 |
NVIDIA GeForce RTX 5060 TiVast.ai · Spot · 16 GB VRAM | $0.06 |
NVIDIA GeForce RTX 4060 TiVast.ai · Spot · 8 GB VRAM | $0.07 |
Per-GPU rate across RunPod, the Vast.ai marketplace, DigitalOcean, and Vultr.
Spot tier is interruptible. Plan for restarts when comparing against on-demand prices.
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View on Hugging Face