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.
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 |
|---|---|---|
| Acer Veriton GN100 AI MiniAcer | SS | 17.5 GB |
| AI TOP ATOM ATAGB10-9003Gigabyte | SS | 17.5 GB |
| AMD Instinct MI300XAMD | SS | 17.5 GB |
| AMD Instinct MI325XAMD | SS | 17.5 GB |
| AMD Instinct MI350PAMD | SS | 17.5 GB |

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Aggregate stats, leaderboard, release timeline, and benchmark coverage across every Doccy Health model we track.
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NVIDIA RTX 4000 AdaRunPod · Community · 20 GB VRAM | $0.20 |
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NVIDIA RTX A5000RunPod · Secure · 24 GB VRAM | $0.27 |
NVIDIA RTX 4000 AdaRunPod · Secure · 20 GB VRAM | $0.28 |
Per-GPU rate across RunPod, the Vast.ai marketplace, DigitalOcean, and Vultr.