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The largest Kev checkpoint, post-trained on Qwen3.8-27B and sized for a single 80 GB GPU. Not on any public decision board yet.
A workable 27B-parameter dense decision model from Jared Palmer. 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 |
|---|---|---|
| Acer Veriton GN100 AI MiniAcer | SS | 17.9 GB |
| AI TOP ATOM ATAGB10-9003Gigabyte | SS | 17.9 GB |
| AMD Instinct MI300XAMD | SS | 17.9 GB |
| AMD Instinct MI325XAMD | SS | 17.9 GB |
| AMD Instinct MI350PAMD | SS | 17.9 GB |
Explore the Provider
Aggregate stats, leaderboard, release timeline, and benchmark coverage across every Jared Palmer model we track.
Cheapest current cloud rentals with at least 18 GB VRAM, refreshed hourly.
Advertising disclosure: we earn commissions when you shop through the links below.
| Option | Cost / GPU-hour |
|---|---|
NVIDIA GeForce RTX 3090Vast.ai · Spot · 24 GB VRAM | $0.12 |
NVIDIA GeForce RTX 3090Vast.ai · On-Demand · 24 GB VRAM | $0.14 |
NVIDIA RTX A5000RunPod · Community · 24 GB VRAM | $0.16 |
NVIDIA GeForce RTX 4090Vast.ai · Spot · 24 GB VRAM | $0.16 |
NVIDIA RTX PRO 4000 BlackwellVast.ai · Spot · 24 GB VRAM | $0.17 |
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.
View on Hugging Face
