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A 0.85B decision model from MoLeMo Lab on Qwen3.5-0.8B that scores request-time candidates against text or image state and returns Choice, Noul and Score distributions in one forward pass. It is wire-compatible with the TypeSafe SDK, and the training mix and a preprint are public.
A niche 0.85B-parameter dense decision model from MoLeMo Lab. 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 | 2.8 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 2.8 GB |
| AMD Instinct MI300XAMD | SS | 2.8 GB |
| AMD Instinct MI325XAMD | SS | 2.8 GB |
| AMD Instinct MI355XAMD | SS | 2.8 GB |
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Aggregate stats, leaderboard, release timeline, and benchmark coverage across every MoLeMo Lab model we track.
Cheapest current cloud rentals with at least 3 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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