Update run history: Run 6 (dataloader crash), Run 7 running on 25b4d8d
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@@ -66,7 +66,8 @@ python3 /root/nvidia-meeting/deepseek-v4-quant/scripts/quantize_nvfp4.py --valid
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| 3 | May 9 06:10 | `3907838` | 128 | ❌ Crashed at model loading | `AutoModelForCausalLM.from_pretrained` OOM during expert weight `torch.cat` (31.5GB alloc, 25.9GB free) | Use modelopt `get_model()` which handles max_memory properly |
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| 4 | May 9 ~07:00 | `86dd8df` | 128 | ❌ Crashed at quantize config setup | `mtq.KV_QUANT_CFG_CHOICES` doesn't exist — it's `hf_ptq.KV_QUANT_CFG_CHOICES` | Import `KV_QUANT_CFG_CHOICES` from `hf_ptq`, not `mtq` |
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| 5 | May 9 ~08:05 | `f9bbef8` | 128 | ❌ Same as Run 4 | Same import bug, wasn't synced properly | Same fix, properly synced |
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| 6 | May 9 ~09:25 | `6c1bff6` | 128 | 🔄 Running | — | — |
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| 6 | May 9 ~09:25 | `6c1bff6` | 128 | ❌ Crashed at dataloader setup | `make_calib_dataloader` AttributeError — missing args (`dataset`, `calib_with_images`, etc.) | Add all required args to argparse.Namespace |
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| 7 | May 9 ~13:40 | `25b4d8d` | 128 | 🔄 Running | — | — |
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**If Run 4 succeeds**, current code is good. No further changes needed.
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**If Run 4 fails**, check the log, identify the crash point, add it to this table.
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