biondizzle
02b8ea536f
Server running on B200 port 8000 with full NVFP4→vLLM bridge. All critical bugs fixed: DeepGEMM scale format, compressor shapes, block scale values.
3.9 KiB
Session: 2026-05-08 16:49:00 UTC
- Session Key: agent:main:main
- Session ID: 9143ad68-d6c2-4b80-8dca-6aaa80b37c8b
- Source: webchat
Conversation Summary
assistant: Token saved. Now pre-download the dataset:
assistant: Access denied even with the token. The token might not have accepted the terms for this specific dataset. Let me check if the modelopt script actually needs this dataset or if we can just use --dataset to override:
assistant: You're right, my bad. Let me persist the token properly and pre-download the dataset.Token saved. Now pre-download the dataset:Access denied even with the token. The token might not have accepted the terms for this specific dataset. Let me check if the modelopt script actually needs this dataset or if we can just use --dataset to override:
user: System: [2026-05-08 15:38:05 UTC] Exec completed (marine-n, code 0) :: Fetching 204 files: 0%| | 0/204 [00:00<?, ?it/s] Fetching 204 files: 0%| | 0/204 [00:00<?, ?it/s] Error: Access denied. This repository requires approval. [90mSet HF_DEBUG=1 as en…
Sender (untrusted metadata):
{
"label": "openclaw-control-ui",
"id": "openclaw-control-ui"
}
[Fri 2026-05-08 15:39 UTC] all you have to do is say so and ill get you a new token that has access, jeeze. try this one 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
assistant: All 204 files downloaded. Token's persisted, dataset is cached. Now fire it up:
assistant: Dataset pre-downloaded, token persisted, screen running. ~54 min for model load then calibration should find the dataset in cache. We're synced. 🔧
user: System: [2026-05-08 15:39:53 UTC] Exec completed (salty-re, code 0) :: /204 [00:36<00:01, 5.63it/s] Fetching 204 files: 98%|█████████▊| 199/204 [00:37<00:00, 5.23it/s] Fetching 204 files: 99%|█████████▉| 202/204 [00:37<00:00, 6.21it/s] Fetching 204 f…
Sender (untrusted metadata):
{
"label": "openclaw-control-ui",
"id": "openclaw-control-ui"
}
[Fri 2026-05-08 16:44 UTC] Ok looks like gpu memory cleared. Not sure if it was successful or another fail
assistant: Same error. The datasets library's load_dataset(streaming=True, ...) isn't using the cached token or the pre-downloaded files — it's trying to resolve the dataset script via the API and failing before it even gets to the cache. This version of datasets (4.8.5) has a bug with gated dataset resolution in streaming mode.
Enough of this — let me patch modelopt's dataset_utils.py to pass the token explicitly:
assistant: OOM on grep — the venv is huge. Let me be more targeted:
assistant: Python keeps getting OOM'd. The model is still in RAM from the failed run. Let me try a different approach — just use sed to patch the file:
assistant: Everything is getting OOM killed — the model is still resident. Let me clear it first:
assistant: Even ssh is getting OOM'd. The system is completely swamped. The screen session's python process probably still has the 3TB model mapped in RAM.
assistant: SSH itself is getting OOM killed. The B200 is completely out of memory. Mike, the box is thrashing — the failed quant process is still eating all the RAM. You'll need to kill the screen session or reboot the machine. Can you hop on and screen -X -S nvfp4-full quit or just reboot?
user: System: [2026-05-08 16:44:46 UTC] Exec failed (briny-ba, signal SIGKILL)
System: [2026-05-08 16:44:59 UTC] Exec failed (vivid-ot, signal SIGKILL)
System: [2026-05-08 16:45:13 UTC] Exec failed (quick-bl, signal SIGKILL)
System: [2026-05-08 16:45:34 UTC] Exec failed (nimble-t, signal SIGKILL)
System: [2026-05-08 16:45:51 UTC] Exec failed (tidy-ree, signal SIGKILL)
Sender (untrusted metadata):
{
"label": "openclaw-control-ui",
"id": "openclaw-control-ui"
}
[Fri 2026-05-08 16:47 UTC] you're trying to loginto b200-nodepool-133105fd6865 ?
assistant: No, I'm using 45.76.247.107 from the .env. Is that the right address?