Serve Qwen 7B
Deploy Qwen 7B as an OpenAI-compatible vLLM endpoint — a fast, low-cost general-purpose chat/completions model for most application traffic.
Estimated $0.35–$0.60/hr while serving · Long-running endpoint — starts in 2–5 min
What inputs you need
- Model: Qwen/Qwen2.5-7B-Instruct (or pinned variant)
- Max-cost budget
- Optional: concurrency / context-length overrides
What Badgr returns
- OpenAI-compatible /v1/chat/completions endpoint URL + API key
- Health-check status
- Usage receipt on teardown
Recommended GPU routes
Estimated cost: $0.35–$0.60/hr while serving · Estimated runtime: Long-running endpoint — starts in 2–5 min
Example command
badgr serve Qwen/Qwen2.5-7B-Instruct \
--gpu L40S \
--max-cost 10Common setup failures Badgr avoids
Endpoint fails health check on cold start — startup timeout is sized for the model's weight-load time before /v1/models is checked.
High first-token latency under load — Badgr suggests moving to a Fast Serving route if concurrent request volume grows.
Ready to run this?
Launch from the dashboard, CLI, or Compute API. Max-cost protection included.