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A LoRA adapter and trained answer heads for Qwen3.8-27B from Doccy Health, built to answer structured questions about a document. Each answer comes back as a probability, with optional pointers to the sentences most likely to support it. Its evaluation labels are AI-generated and not yet human-reviewed.
A situational 27.78B-parameter dense decision model from Doccy Health. 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.
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The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| Acer Veriton GN100 AI MiniAcer | SS | 17.5 GB |
| AMD Instinct MI300XAMD | SS | 17.5 GB |
| AMD Instinct MI325XAMD | SS | 17.5 GB |
| AMD Instinct MI355XAMD | SS | 17.5 GB |
| Apple M3 Ultra (32-core CPU, 80-core GPU)Apple | SS | 17.5 GB |
Cheapest current cloud rentals with at least 18 GB VRAM, refreshed hourly.
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| Option | Cost / GPU-hour |
|---|---|
NVIDIA GeForce RTX 3090Vast.ai · Spot · 24 GB VRAM | $0.08 |
NVIDIA RTX PRO 4000 BlackwellVast.ai · Spot · 24 GB VRAM | $0.11 |
NVIDIA RTX A5000Vast.ai · Spot · 24 GB VRAM | $0.11 |
NVIDIA GeForce RTX 3090Vast.ai · On-Demand · 24 GB VRAM | $0.12 |
NVIDIA RTX A6000Vast.ai · Spot · 48 GB VRAM | $0.13 |
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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