The compact sibling of Winnow-12B, fine-tuned from Gemma 4 E4B for typed decisions. It assigns probabilities to supplied answers for routing, action choice, condition checks and urgency ratings, and still supports chat and image input. It handles roughly twice as many decisions per second as the 12B model on the same GPU.
A workable 8B-parameter dense decision model from EldanRing. 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.
Access model weights, configuration files, and documentation.
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 | 9.3 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 9.3 GB |
| AI TOP ATOM ATAGB10-9003Gigabyte | SS | 9.3 GB |
| AMD Instinct MI300XAMD | SS | 9.3 GB |
| AMD Instinct MI325XAMD | SS | 9.3 GB |
Cheapest current cloud rentals with at least 9 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 RTX A4000Vast.ai · Spot · 16 GB VRAM | $0.08 |
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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