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  1. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_15/piqa_2025-12-04T00-12-40.875023.json +124 -0
  2. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_17/arc_challenge_2025-12-04T01-17-29.963978.json +126 -0
  3. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_17/boolq_2025-12-04T01-13-23.345536.json +118 -0
  4. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_17/piqa_2025-12-04T01-22-07.305376.json +124 -0
  5. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_18/arc_challenge_2025-12-04T01-52-22.300182.json +126 -0
  6. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_18/hellaswag_2025-12-04T02-12-02.357898.json +127 -0
  7. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_18/piqa_2025-12-04T01-56-50.035608.json +124 -0
  8. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_18/truthfulqa_mc1_2025-12-04T01-54-45.311428.json +116 -0
  9. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_18/winogrande_2025-12-04T01-44-54.750911.json +117 -0
  10. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_19/arc_challenge_2025-12-04T02-26-24.150754.json +126 -0
  11. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_19/boolq_2025-12-04T02-22-15.041944.json +118 -0
  12. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_19/hellaswag_2025-12-04T02-46-00.959929.json +127 -0
  13. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_19/piqa_2025-12-04T02-30-50.069842.json +124 -0
  14. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_19/truthfulqa_mc1_2025-12-04T02-28-42.795970.json +116 -0
  15. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_19/winogrande_2025-12-04T02-19-33.569507.json +117 -0
  16. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_2/arc_challenge_2025-12-03T16-30-08.869471.json +126 -0
  17. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_2/boolq_2025-12-03T16-25-57.935489.json +118 -0
  18. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_2/hellaswag_2025-12-03T16-50-12.203641.json +127 -0
  19. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_2/piqa_2025-12-03T16-34-44.979094.json +124 -0
  20. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_2/truthfulqa_mc1_2025-12-03T16-32-35.216294.json +116 -0
  21. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_2/winogrande_2025-12-03T16-23-00.601571.json +117 -0
  22. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/arc_challenge_2025-12-04T03-00-35.233046.json +126 -0
  23. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/boolq_2025-12-04T02-56-27.557271.json +118 -0
  24. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/hellaswag_2025-12-04T03-20-25.776937.json +127 -0
  25. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/piqa_2025-12-04T03-05-00.959377.json +124 -0
  26. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/truthfulqa_mc1_2025-12-04T03-02-56.237845.json +116 -0
  27. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/winogrande_2025-12-04T02-53-36.644395.json +117 -0
  28. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_21/arc_challenge_2025-12-04T03-34-52.811864.json +126 -0
  29. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_21/boolq_2025-12-04T03-30-37.083682.json +118 -0
  30. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_21/hellaswag_2025-12-04T03-54-57.750600.json +127 -0
  31. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_21/piqa_2025-12-04T03-39-33.467296.json +124 -0
  32. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_21/truthfulqa_mc1_2025-12-04T03-37-30.244661.json +116 -0
  33. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_21/winogrande_2025-12-04T03-27-57.158106.json +117 -0
  34. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/arc_challenge_2025-12-04T04-09-23.247895.json +126 -0
  35. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/boolq_2025-12-04T04-05-19.225770.json +118 -0
  36. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/hellaswag_2025-12-04T04-29-08.114334.json +127 -0
  37. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/piqa_2025-12-04T04-13-53.601328.json +124 -0
  38. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/truthfulqa_mc1_2025-12-04T04-11-47.502549.json +116 -0
  39. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/winogrande_2025-12-04T04-02-40.500621.json +117 -0
  40. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_23/arc_challenge_2025-12-04T04-43-23.638515.json +126 -0
  41. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_23/boolq_2025-12-04T04-39-25.340055.json +118 -0
  42. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_23/hellaswag_2025-12-04T05-03-09.952394.json +127 -0
  43. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_23/piqa_2025-12-04T04-47-56.376225.json +124 -0
  44. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_23/truthfulqa_mc1_2025-12-04T04-45-42.003529.json +116 -0
  45. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_23/winogrande_2025-12-04T04-36-50.823414.json +117 -0
  46. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_24/arc_challenge_2025-12-04T05-17-50.103994.json +126 -0
  47. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_24/boolq_2025-12-04T05-13-44.296495.json +118 -0
  48. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_24/hellaswag_2025-12-04T05-37-46.984581.json +127 -0
  49. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_24/piqa_2025-12-04T05-22-32.955466.json +124 -0
  50. lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_24/truthfulqa_mc1_2025-12-04T05-20-09.023028.json +116 -0
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_18/piqa_2025-12-04T01-56-50.035608.json ADDED
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+ {
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+ {
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+ "process_docs": "def process_docs(dataset: datasets.Dataset) -> datasets.Dataset:\n def _process_doc(doc):\n ctx = doc[\"ctx_a\"] + \" \" + doc[\"ctx_b\"].capitalize()\n out_doc = {\n \"query\": preprocess(doc[\"activity_label\"] + \": \" + ctx),\n \"choices\": [preprocess(ending) for ending in doc[\"endings\"]],\n \"gold\": int(doc[\"label\"]),\n }\n return out_doc\n\n return dataset.map(_process_doc)\n",
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+ "doc_to_text": "{{query}}",
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+ "doc_to_text": "{% set prompt_qa = 'Q: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: I have no comment.\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.'%}{{prompt_qa + '\n\nQ: ' + question + '\nA:'}}",
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_19/winogrande_2025-12-04T02-19-33.569507.json ADDED
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+ {
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+ "results": {
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+ "doc_to_text": "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n",
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+ "doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n",
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+ "doc_to_choice": "def doc_to_choice(doc):\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n",
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/arc_challenge_2025-12-04T03-00-35.233046.json ADDED
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1
+ {
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+ "configs": {
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+ "tag": [
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+ "dataset_name": "ARC-Challenge",
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+ "validation_split": "validation",
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+ "test_split": "test",
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+ "doc_to_text": "Question: {{question}}\nAnswer:",
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+ "doc_to_target": "{{choices.label.index(answerKey)}}",
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+ "doc_to_choice": "{{choices.text}}",
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+ "target_delimiter": " ",
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+ "metric": "acc_norm",
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+ "aggregation": "mean",
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+ "higher_is_better": true
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_20/piqa_2025-12-04T03-05-00.959377.json ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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+ "dataset_name": "winogrande_xl",
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+ "doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n",
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/arc_challenge_2025-12-04T04-09-23.247895.json ADDED
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+ {
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+ "configs": {
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+ "dataset_name": "ARC-Challenge",
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+ "validation_split": "validation",
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+ "test_split": "test",
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+ "doc_to_text": "Question: {{question}}\nAnswer:",
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+ "doc_to_target": "{{choices.label.index(answerKey)}}",
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+ "doc_to_choice": "{{choices.text}}",
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+ "target_delimiter": " ",
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+ "metric": "acc_norm",
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+ "higher_is_better": true
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_22/piqa_2025-12-04T04-13-53.601328.json ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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+ "doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n",
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_24/arc_challenge_2025-12-04T05-17-50.103994.json ADDED
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+ {
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+ "dataset_name": "ARC-Challenge",
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+ "validation_split": "validation",
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+ "test_split": "test",
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+ "doc_to_text": "Question: {{question}}\nAnswer:",
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+ "doc_to_target": "{{choices.label.index(answerKey)}}",
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+ "doc_to_choice": "{{choices.text}}",
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+ "target_delimiter": " ",
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+ "metric": "acc_norm",
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+ "aggregation": "mean",
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+ "higher_is_better": true
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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lm-evaluation-harness/results3/Llama-3.1-8B-quantization-layer-mlp/mlp_24/piqa_2025-12-04T05-22-32.955466.json ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "doc_to_text": "{% set prompt_qa = 'Q: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: I have no comment.\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.'%}{{prompt_qa + '\n\nQ: ' + question + '\nA:'}}",
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Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] mypy==1.19.0\n[pip3] mypy_extensions==1.1.0\n[pip3] numpy==1.26.4\n[pip3] nvidia-cublas-cu12==12.8.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.8.90\n[pip3] nvidia-cuda-nvrtc-cu12==12.8.93\n[pip3] nvidia-cuda-runtime-cu12==12.8.90\n[pip3] nvidia-cudnn-cu12==9.10.2.21\n[pip3] nvidia-cufft-cu12==11.3.3.83\n[pip3] nvidia-curand-cu12==10.3.9.90\n[pip3] nvidia-cusolver-cu12==11.7.3.90\n[pip3] nvidia-cusparse-cu12==12.5.8.93\n[pip3] nvidia-cusparselt-cu12==0.7.1\n[pip3] nvidia-nccl-cu12==2.27.5\n[pip3] nvidia-nvjitlink-cu12==12.8.93\n[pip3] nvidia-nvtx-cu12==12.8.90\n[pip3] open_clip_torch==3.2.0\n[pip3] torch==2.9.1\n[pip3] torchvision==0.24.1\n[pip3] triton==3.5.1\n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi\n[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi\n[conda] open-clip-torch 3.2.0 pypi_0 pypi\n[conda] torch 2.9.1 pypi_0 pypi\n[conda] torchvision 0.24.1 pypi_0 pypi\n[conda] triton 3.5.1 pypi_0 pypi",
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