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The largest Intern-Decision checkpoint, fine-tuned from Qwen3.5-4B for multimodal typed decisions. InternLM reports a 44 ms median request on an RTX 4090, and the release includes training code, two inference backends and a calibration benchmark.
A workable 4.54B-parameter dense decision model from InternLM. 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 |
|---|---|---|
| ACEMAGIC M1A Pro (i9-13900HK + ARC A770)ACEMAGIC | SS | 3.4 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 3.4 GB |
| AI TOP ATOM ATAGB10-9003Gigabyte | SS | 3.4 GB |
| AMD Instinct MI300XAMD | SS | 3.4 GB |
| AMD Instinct MI325XAMD | SS | 3.4 GB |
Explore the Provider
Aggregate stats, leaderboard, release timeline, and benchmark coverage across every InternLM model we track.
Cheapest current cloud rentals with at least 3 GB VRAM, refreshed hourly.
Advertising disclosure: we earn commissions when you shop through the links below.
| Option | Cost / GPU-hour |
|---|---|
NVIDIA GeForce RTX 3060Vast.ai · Spot · 12 GB VRAM | $0.04 |
NVIDIA GeForce RTX 3060Vast.ai · On-Demand · 12 GB VRAM | $0.04 |
NVIDIA GeForce RTX 3080 TiVast.ai · Spot · 12 GB VRAM | $0.04 |
NVIDIA GeForce RTX 5060 TiVast.ai · Spot · 16 GB VRAM | $0.06 |
NVIDIA GeForce RTX 4060 TiVast.ai · Spot · 8 GB VRAM | $0.07 |
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
