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A Gemma 4 12B fine-tune for typed decisions, released as GGUF files for llama.cpp. One server handles decision questions, ordinary chat and image input from the same loaded model. The Q8 version was tested with 64K context on a 16 GB consumer GPU.
A workable 11.96B-parameter dense decision model from EldanRing. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing. Newly released, so production-readiness is still being shaken out.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
Access model weights, configuration files, and documentation.
The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| Acer Veriton GN100 AI MiniAcer | SS | 13.7 GB |
| AMD Instinct MI300XAMD | SS | 13.7 GB |
| AMD Instinct MI325XAMD | SS | 13.7 GB |
| AMD Instinct MI355XAMD | SS | 13.7 GB |
| AMD Radeon RX 7900 XTXAMD | SS | 13.7 GB |
Explore the Provider
Aggregate stats, leaderboard, release timeline, and benchmark coverage across every EldanRing model we track.
Cheapest current cloud rentals with at least 14 GB VRAM, refreshed hourly.
Advertising disclosure: we earn commissions when you shop through the links below.
| Option | Cost / GPU-hour |
|---|---|
NVIDIA Tesla V100 16GBVast.ai · Spot · 16 GB VRAM | $0.07 |
NVIDIA GeForce RTX 3090Vast.ai · Spot · 24 GB VRAM | $0.08 |
NVIDIA Tesla V100 16GBVast.ai · On-Demand · 16 GB VRAM | $0.08 |
NVIDIA RTX A4000Vast.ai · Spot · 16 GB VRAM | $0.09 |
NVIDIA RTX A4000Vast.ai · On-Demand · 16 GB VRAM | $0.09 |
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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