{"model_id": "bigscience/bloomz-3b", "name": "bloomz-3b", "owner": "bigscience", "source_url": "https://huggingface.co/bigscience/bloomz-3b", "task": "text-generation", "languages": ["ak", "ar", "as", "bm", "bn", "ca", "code", "en", "es", "eu", "fon", "fr", "gu", "hi", "id", "ig", "ki", "kn", "lg", "ln", "ml", "mr", "ne", "nso", "ny", "or", "pa", "pt", "rn", "rw"], "tags": ["transformers", "pytorch", "tensorboard", "safetensors", "bloom", "text-generation", "ak", "ar", "as", "bm", "bn", "ca", "code", "en", "es", "eu", "fon", "fr", "gu", "hi", "id", "ig", "ki", "kn", "lg", "ln", "ml", "mr", "ne", "nso", "ny", "or", "pa", "pt", "rn", "rw", "sn", "st", "sw", "ta", "te", "tn", "ts", "tum", "tw", "ur", "vi", "wo", "xh", "yo", "zh", "zu", "dataset:bigscience/xP3", "arxiv:2211.01786", "license:bigscience-bloom-rail-1.0", "model-index", "text-generation-inference", "endpoints_compatible", "deploy:azure", "region:us"], "license_id": "bigscience-bloom-rail-1.0", "license_status": "ouverte_avec_conditions", "license_label": "BigScience BLOOM RAIL 1.0", "commercial_use": "possible_a_verifier", "gated": false, "private": false, "downloads": 5054, "likes": 81, "updated_at": "2023-05-27T17:26:10.000Z", "description": "", "files": [{"name": ".gitattributes", "size": 1576, "format": "autre", "precision": "inconnue"}, {"name": "README.md", "size": 24579, "format": "autre", "precision": "inconnue"}, {"name": "config.json", "size": 715, "format": "autre", "precision": "inconnue"}, {"name": "logs/logs/xp3capmixnewcodelonglossseq/main_log.txt", "size": 19717343, "format": "autre", "precision": "inconnue"}, {"name": "logs/tensorboard/xp3capmixnewcodelonglossseq/events.out.tfevents.1664816062.r9i7n3.3601676.0", "size": 41494, "format": "autre", "precision": "inconnue"}, {"name": "logs/tensorboard/xp3capmixnewcodelonglossseq/events.out.tfevents.1664821892.r9i7n5.1076818.0", "size": 84650, "format": "autre", "precision": "inconnue"}, {"name": "logs/tensorboard/xp3capmixnewcodelonglossseq/events.out.tfevents.1664880937.r8i4n5.18063.0", "size": 2994611, "format": "autre", "precision": "inconnue"}, {"name": "logs/tensorboard/xp3capmixnewcodelonglossseq/events.out.tfevents.1665113303.r9i7n5.165552.0", "size": 725824, "format": "autre", "precision": "inconnue"}, {"name": "logs/tensorboard/xp3capmixnewcodelonglossseq/events.out.tfevents.1665150361.jean-zay-iam41.420308.0", "size": 5786870, "format": "autre", "precision": "inconnue"}, {"name": "model.safetensors", "size": 6005153394, "format": "safetensors", "precision": "inconnue"}, {"name": "pytorch_model.bin", "size": 6005243331, "format": "bin", "precision": "inconnue"}, {"name": "special_tokens_map.json", "size": 85, "format": "autre", "precision": "inconnue"}, {"name": "tokenizer.json", "size": 14500438, "format": "autre", "precision": "inconnue"}, {"name": "tokenizer_config.json", "size": 199, "format": "autre", "precision": "inconnue"}], "parameter_count": 3002557440, "library_name": "transformers", "pipeline_tag": "text-generation", "datasets": ["bigscience/xP3"], "metrics": [{"name": "Accuracy", "value": 53.67, "task": "Coreference resolution", "dataset": "Winogrande XL (xl)"}, {"name": "Accuracy", "value": 59.23, "task": "Coreference resolution", "dataset": "XWinograd (en)"}, {"name": "Accuracy", "value": 53.01, "task": "Coreference resolution", "dataset": "XWinograd (fr)"}, {"name": "Accuracy", "value": 52.45, "task": "Coreference resolution", "dataset": "XWinograd (jp)"}, {"name": "Accuracy", "value": 53.61, "task": "Coreference resolution", "dataset": "XWinograd (pt)"}, {"name": "Accuracy", "value": 53.97, "task": "Coreference resolution", "dataset": "XWinograd (ru)"}, {"name": "Accuracy", "value": 60.91, "task": "Coreference resolution", "dataset": "XWinograd (zh)"}, {"name": "Accuracy", "value": 40.1, "task": "Natural language inference", "dataset": "ANLI (r1)"}, {"name": "Accuracy", "value": 36.8, "task": "Natural language inference", "dataset": "ANLI (r2)"}, {"name": "Accuracy", "value": 40, "task": "Natural language inference", "dataset": "ANLI (r3)"}, {"name": "Accuracy", "value": 75, "task": "Natural language inference", "dataset": "SuperGLUE (cb)"}, {"name": "Accuracy", "value": 76.17, "task": "Natural language inference", "dataset": "SuperGLUE (rte)"}, {"name": "Accuracy", "value": 53.29, "task": "Natural language inference", "dataset": "XNLI (ar)"}, {"name": "Accuracy", "value": 43.82, "task": "Natural language inference", "dataset": "XNLI (bg)"}, {"name": "Accuracy", "value": 45.26, "task": "Natural language inference", "dataset": "XNLI (de)"}, {"name": "Accuracy", "value": 42.61, "task": "Natural language inference", "dataset": "XNLI (el)"}, {"name": "Accuracy", "value": 57.31, "task": "Natural language inference", "dataset": "XNLI (en)"}, {"name": "Accuracy", "value": 56.14, "task": "Natural language inference", "dataset": "XNLI (es)"}, {"name": "Accuracy", "value": 55.78, "task": "Natural language inference", "dataset": "XNLI (fr)"}, {"name": "Accuracy", "value": 51.49, "task": "Natural language inference", "dataset": "XNLI (hi)"}], "github_url": "", "github_metadata": {}, "paper_url": "https://arxiv.org/abs/2211.01786", "paper_doi": "", "paper_metadata": {}, "card_complete": true, "safetensors": true, "provenance": [{"source": "Hugging Face Hub API", "url": "https://huggingface.co/bigscience/bloomz-3b", "retrieved_at": "2026-10-08T05:16:21.242433+00:00"}], "retrieved_at": "2026-10-08T05:16:21.242433+00:00", "warnings": ["La licence est déclarée par le producteur ; vérifiez toujours son texte intégral et les conditions associées."], "rank_score": 0.0, "rank_reasons": [], "compatibility": {"state": "probable", "label": "Probablement compatible", "summary": "La configuration est proche du besoin estimé ; le logiciel choisi peut changer le résultat.", "factors": ["Mémoire estimée : 7.3 Go, marge d’exécution de 30% incluse.", "Espace disque minimal indicatif : 5.6 Go.", "Une exécution CPU peut être possible mais sa vitesse ne peut pas être déduite de ces métadonnées."], "estimate": {"known": true, "precision": "float32", "source": "taille réelle déclarée des fichiers de poids", "base_bytes": 6005153394, "estimated_bytes": 7806699412, "overhead": 0.3}}, "quantization": {"available": false, "variants": [], "recommended": null, "lightest": null, "memory_gb": 0.0, "disk_gb": 0.0}, "editorial_quality_score": null, "editorial_quality_blockers": []}