{ "name": "Datamata AI Model Popularity Index", "version": "1.0", "description": "Weekly popularity of the most-downloaded and trending Hugging Face models: trailing downloads, likes, the model's task and its trending rank. One row per model from the most recent weekly snapshot.", "source": "https://www.datamatastudios.com/datasets", "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/" }, "generated_at": "2026-07-12T05:41:20.039381+00:00", "latest_snapshot_date": "2026-07-12", "tasks": [ "audio-classification", "automatic-speech-recognition", "feature-extraction", "fill-mask", "image-classification", "image-text-to-text", "sentence-similarity", "text-classification", "text-generation", "text-ranking", "text-to-speech", "time-series-forecasting", "translation", "zero-shot-image-classification" ], "columns": [ { "name": "snapshot_date", "type": "string", "description": "UTC date the snapshot was taken (YYYY-MM-DD)." }, { "name": "model_id", "type": "string", "description": "Hugging Face model identifier (e.g. meta-llama/Llama-3-8B)." }, { "name": "author", "type": "string", "description": "Owning org or user (the part of model_id before the slash). Blank for un-namespaced models." }, { "name": "pipeline_tag", "type": "string", "description": "Primary task the model is tagged with (e.g. text-generation, text-to-image). Blank if untagged." }, { "name": "downloads", "type": "number", "description": "Hugging Face downloads in the trailing 30 days on the snapshot date." }, { "name": "likes", "type": "number", "description": "Hugging Face likes on the snapshot date." }, { "name": "trending_score", "type": "number", "description": "Hugging Face trending score on the snapshot date. Blank for models that ranked by downloads only." } ], "row_count": 50, "rows": [ { "snapshot_date": "2026-07-12", "model_id": "sentence-transformers/all-MiniLM-L6-v2", "author": "sentence-transformers", "pipeline_tag": "sentence-similarity", "downloads": 254795723, "likes": 5057, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "cross-encoder/ms-marco-MiniLM-L6-v2", "author": "cross-encoder", "pipeline_tag": "text-ranking", "downloads": 85082315, "likes": 278, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "google-bert/bert-base-uncased", "author": "google-bert", "pipeline_tag": "fill-mask", "downloads": 72165550, "likes": 2703, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "BAAI/bge-small-en-v1.5", "author": "BAAI", "pipeline_tag": "feature-extraction", "downloads": 66301116, "likes": 508, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "author": "sentence-transformers", "pipeline_tag": "sentence-similarity", "downloads": 50278369, "likes": 1311, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "google/electra-base-discriminator", "author": "google", "pipeline_tag": "", "downloads": 47351492, "likes": 138, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "BAAI/bge-m3", "author": "BAAI", "pipeline_tag": "sentence-similarity", "downloads": 34659174, "likes": 3220, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "sentence-transformers/all-mpnet-base-v2", "author": "sentence-transformers", "pipeline_tag": "sentence-similarity", "downloads": 33241691, "likes": 1325, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "timm/mobilenetv3_small_100.lamb_in1k", "author": "timm", "pipeline_tag": "image-classification", "downloads": 28739838, "likes": 88, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Qwen/Qwen3-0.6B", "author": "Qwen", "pipeline_tag": "text-generation", "downloads": 28500464, "likes": 1406, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "google-t5/t5-small", "author": "google-t5", "pipeline_tag": "translation", "downloads": 26147457, "likes": 567, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "openai/clip-vit-base-patch32", "author": "openai", "pipeline_tag": "zero-shot-image-classification", "downloads": 23898325, "likes": 977, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "FacebookAI/xlm-roberta-base", "author": "FacebookAI", "pipeline_tag": "fill-mask", "downloads": 22865974, "likes": 864, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Qwen/Qwen3-8B", "author": "Qwen", "pipeline_tag": "text-generation", "downloads": 18187422, "likes": 1196, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "BAAI/bge-reranker-v2-m3", "author": "BAAI", "pipeline_tag": "text-classification", "downloads": 17417579, "likes": 1081, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "amazon/chronos-2", "author": "amazon", "pipeline_tag": "time-series-forecasting", "downloads": 15528300, "likes": 355, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "facebook/opt-125m", "author": "facebook", "pipeline_tag": "text-generation", "downloads": 15399476, "likes": 275, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "nomic-ai/nomic-embed-text-v1.5", "author": "nomic-ai", "pipeline_tag": "sentence-similarity", "downloads": 15251993, "likes": 864, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "BAAI/bge-large-en-v1.5", "author": "BAAI", "pipeline_tag": "feature-extraction", "downloads": 14797289, "likes": 698, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "google/gemma-4-26B-A4B-it", "author": "google", "pipeline_tag": "image-text-to-text", "downloads": 14416730, "likes": 1257, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "autogluon/chronos-bolt-small", "author": "autogluon", "pipeline_tag": "time-series-forecasting", "downloads": 14234043, "likes": 51, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "openai-community/gpt2", "author": "openai-community", "pipeline_tag": "text-generation", "downloads": 13776808, "likes": 3342, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "FacebookAI/roberta-large", "author": "FacebookAI", "pipeline_tag": "fill-mask", "downloads": 13473027, "likes": 308, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "openai/clip-vit-large-patch14", "author": "openai", "pipeline_tag": "zero-shot-image-classification", "downloads": 13226778, "likes": 2053, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "intfloat/multilingual-e5-large", "author": "intfloat", "pipeline_tag": "feature-extraction", "downloads": 12952762, "likes": 1222, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Qwen/Qwen2.5-7B-Instruct", "author": "Qwen", "pipeline_tag": "text-generation", "downloads": 12643162, "likes": 1417, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5", "author": "trl-internal-testing", "pipeline_tag": "text-generation", "downloads": 12608790, "likes": 13, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "intfloat/multilingual-e5-small", "author": "intfloat", "pipeline_tag": "sentence-similarity", "downloads": 12594461, "likes": 360, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "laion/clap-htsat-fused", "author": "laion", "pipeline_tag": "audio-classification", "downloads": 12131992, "likes": 114, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Qwen/Qwen2.5-1.5B-Instruct", "author": "Qwen", "pipeline_tag": "text-generation", "downloads": 12101940, "likes": 768, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "google/gemma-4-31B-it", "author": "google", "pipeline_tag": "image-text-to-text", "downloads": 12094728, "likes": 3178, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Bingsu/adetailer", "author": "Bingsu", "pipeline_tag": "", "downloads": 11674082, "likes": 740, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "hexgrad/Kokoro-82M", "author": "hexgrad", "pipeline_tag": "text-to-speech", "downloads": 11507187, "likes": 6510, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Qwen/Qwen3-Embedding-0.6B", "author": "Qwen", "pipeline_tag": "feature-extraction", "downloads": 11089816, "likes": 1108, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "author": "sentence-transformers", "pipeline_tag": "sentence-similarity", "downloads": 10363411, "likes": 472, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Qwen/Qwen2.5-VL-7B-Instruct", "author": "Qwen", "pipeline_tag": "image-text-to-text", "downloads": 10304135, "likes": 1621, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "coqui/XTTS-v2", "author": "coqui", "pipeline_tag": "text-to-speech", "downloads": 9977969, "likes": 3652, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "lpiccinelli/unidepth-v2-vitl14", "author": "lpiccinelli", "pipeline_tag": "", "downloads": 9952611, "likes": 36, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "meta-llama/Llama-3.2-1B-Instruct", "author": "meta-llama", "pipeline_tag": "text-generation", "downloads": 9804344, "likes": 1522, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "answerdotai/ModernBERT-base", "author": "answerdotai", "pipeline_tag": "fill-mask", "downloads": 9544031, "likes": 1071, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "FacebookAI/roberta-base", "author": "FacebookAI", "pipeline_tag": "fill-mask", "downloads": 9536062, "likes": 625, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "distilbert/distilbert-base-uncased", "author": "distilbert", "pipeline_tag": "fill-mask", "downloads": 9416579, "likes": 911, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "autogluon/chronos-2", "author": "autogluon", "pipeline_tag": "time-series-forecasting", "downloads": 9264295, "likes": 38, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Falconsai/nsfw_image_detection", "author": "Falconsai", "pipeline_tag": "image-classification", "downloads": 9226345, "likes": 1135, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "deepseek-ai/DeepSeek-R1", "author": "deepseek-ai", "pipeline_tag": "text-generation", "downloads": 8978847, "likes": 13458, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "Qwen/Qwen3.5-9B", "author": "Qwen", "pipeline_tag": "image-text-to-text", "downloads": 8810850, "likes": 1693, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "BAAI/bge-base-en-v1.5", "author": "BAAI", "pipeline_tag": "feature-extraction", "downloads": 8704964, "likes": 450, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "meta-llama/Llama-3.1-8B-Instruct", "author": "meta-llama", "pipeline_tag": "text-generation", "downloads": 8659328, "likes": 6286, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "pyannote/speaker-diarization-3.1", "author": "pyannote", "pipeline_tag": "automatic-speech-recognition", "downloads": 8468457, "likes": 2669, "trending_score": null }, { "snapshot_date": "2026-07-12", "model_id": "cross-encoder/ms-marco-MiniLM-L4-v2", "author": "cross-encoder", "pipeline_tag": "text-ranking", "downloads": 8413205, "likes": 16, "trending_score": null } ] }