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Upload tier1/Muse-Glimmer-30B/tier1_results_20260926T235653Z.json with huggingface_hub

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tier1/Muse-Glimmer-30B/tier1_results_20260926T235653Z.json ADDED
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+ {
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+ "utc": "20260926T235653Z",
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+ "limit": 100,
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+ "tasks": [
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+ "leaderboard_mmlu_pro",
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+ "leaderboard_gpqa_diamond",
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+ "leaderboard_bbh",
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+ "leaderboard_musr",
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+ "arc_challenge",
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+ "hellaswag",
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+ "gsm8k",
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+ "leaderboard_math_hard",
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+ "leaderboard_ifeval"
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+ ],
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+ "rows": [
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+ {
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+ "label": "Muse-Glimmer-30B",
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+ "repo": "meta-models/Muse-Glimmer-30B",
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+ "status": "FAILED rc=-9",
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+ "seconds": 109.2,
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+ "backend": "hf-multimodal",
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+ "error": "2026-09-26:23:57:11 WARNING [config.evaluate_config:337] --limit SHOULD ONLY BE USED FOR TESTING. REAL METRICS SHOULD NOT BE COMPUTED USING LIMIT.\n2026-09-26:23:57:11 INFO [config.evaluate_config:357] Using default fewshot_as_multiturn=True.\n2026-09-26:23:57:21 INFO [_cli.run:392] Selected Tasks: ['leaderboard_mmlu_pro', 'leaderboard_gpqa_diamond', 'leaderboard_bbh', 'leaderboard_musr', 'arc_challenge', 'hellaswag', 'gsm8k', 'leaderboard_math_hard', 'leaderboard_ifeval']\n2026-09-26:23:57:21 INFO [evaluator:214] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234\n2026-09-26:23:57:21 INFO [evaluator:239] Initializing hf-multimodal model, with arguments: {'pretrained': 'meta-models/Muse-Glimmer-30B', 'load_in_4bit': True, 'bnb_4bit_compute_dtype': 'float16', 'dtype': 'float16', 'parallelize': True, 'trust_remote_code': True, 'max_length': 8192}\n2026-09-26:23:57:23 INFO [models.huggingface:309] Using `accelerate launch` or `parallelize=True`, device 'cuda:0' will be overridden when placing model.\nWarning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n2026-09-26:23:57:24 INFO [models.huggingface:717] Model type cannot be determined. Using default model type 'causal'\n2026-09-26:23:57:37 INFO [models.huggingface:568] Model parallel was set to True, setting max memory per GPU to {0: 15525019648} and device map to auto\n\nFetching 2 files: 0%| | 0/2 [00:00<?, ?it/s]",
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+ "results": {}
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+ }
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+ ]
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+ }