{
 "url": "http://127.0.0.1:18033",
 "started_utc": "2026-09-30T16:34:04Z",
 "health": {
  "status": "ok",
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   "name": "Intern-Decision-4B",
   "source": "internlm/Intern-Decision-4B",
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   "vision_tower": "removed",
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  "chunking": "/decide/shared questions are packed greedily, in request order, into calls of at most 16 (1-16, 17-32, ...); each call is one prompt, so the questions in a call are asked together. With orderings, ordering k of every decision forms wave k, packed the same way.",
  "workloads": []
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 "maxreq": {
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 "oom": {
  "oom_status": 503,
  "oom_error": {
   "code": "out_of_memory",
   "message": "CUDA out of memory. Tried to allocate 64.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 85.46 GiB is free. Including non-PyTorch memory, this process has 9.50 GiB memory in use. 8.90 GiB allowed; Of the allocated memory 8.80 GiB is allocated by PyTorch, and 57.34 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
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 "finished_utc": "2026-09-30T16:34:14Z"
}