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The smaller Malkuth model: a Kev-based LoRA adapter on a 2B distilled Qwen3.8 base, tuned for multilingual and Korean classification. It answers Choice, yes/no and Score questions with calibrated probabilities at about half the latency of the 4B. Licensed for non-commercial research only.
A workable 2.29B-parameter dense decision model from newfull5. 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 |
|---|---|---|
| ACEMAGIC M1A Pro (i9-13900HK + ARC A770)ACEMAGIC | SS | 1.9 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 1.9 GB |
| AMD Instinct MI300XAMD | SS | 1.9 GB |
| AMD Instinct MI325XAMD | SS | 1.9 GB |
| AMD Instinct MI355XAMD | SS | 1.9 GB |
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Aggregate stats, leaderboard, release timeline, and benchmark coverage across every newfull5 model we track.
Cheapest current cloud rentals with at least 2 GB VRAM, refreshed hourly.
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| Option | Cost / GPU-hour |
|---|---|
NVIDIA GeForce RTX 5060 TiVast.ai · Spot · 16 GB VRAM | $0.08 |
NVIDIA RTX A4000Vast.ai · Spot · 16 GB VRAM | $0.08 |
NVIDIA Tesla V100 16GBVast.ai · Spot · 16 GB VRAM | $0.09 |
NVIDIA RTX A4000Vast.ai · On-Demand · 16 GB VRAM | $0.09 |
NVIDIA GeForce RTX 5060 TiVast.ai · On-Demand · 16 GB VRAM | $0.11 |
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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