inference-optimization/Qwen3-1.6B-A0.9B

Text generation · served with vLLM · ↓ 8.9K downloads a month · View on Hugging Face

Weights: 3.1 GB
GPU memory needed: about 5.9 GB
Conversation length: 8,192 tokens
Model allows: 40,960 tokens
Memory · disk: 16 GB · 44 GB
Architecture: Qwen3MoeForCausalLM
Licence: mit

Hardware and deploy

Endpoint name

$0.25/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine with vLLM, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.

Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.

Loading…