Datasets:
model_id stringlengths 11 100 | author stringclasses 1
value | pipeline_tag stringclasses 43
values | library_name stringclasses 57
values | license stringclasses 25
values | is_commercial_friendly bool 2
classes | downloads_total int64 391k 254M | downloads_month int64 391k 254M | likes int64 0 14.7k | tags listlengths 2 657 | language listlengths 0 0 | model_size_category stringclasses 5
values | created_at stringclasses 1
value | last_modified stringclasses 1
value | has_paper bool 2
classes | has_demo bool 1
class | trending_score float64 1 1 | scraped_at timestamp[us]date 2026-09-11 14:38:14 2026-09-11 14:38:14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sentence-transformers/all-MiniLM-L6-v2 | sentence-similarity | sentence-transformers | apache-2.0 | true | 254,035,929 | 254,035,929 | 5,786 | [
"sentence-transformers",
"pytorch",
"tf",
"rust",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"dataset:gooaq",
"dataset:yahoo_a... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
cross-encoder/ms-marco-MiniLM-L6-v2 | text-ranking | sentence-transformers | apache-2.0 | true | 87,585,258 | 87,585,258 | 316 | [
"sentence-transformers",
"pytorch",
"jax",
"onnx",
"safetensors",
"openvino",
"bert",
"text-classification",
"transformers",
"text-ranking",
"en",
"dataset:sentence-transformers/msmarco",
"base_model:cross-encoder/ms-marco-MiniLM-L12-v2",
"base_model:quantized:cross-encoder/ms-marco-MiniLM... | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
BAAI/bge-small-en-v1.5 | feature-extraction | sentence-transformers | mit | true | 64,607,097 | 64,607,097 | 551 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"en",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"text-embe... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
google/electra-base-discriminator | transformers | apache-2.0 | true | 59,304,674 | 59,304,674 | 159 | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"electra",
"pretraining",
"en",
"arxiv:1406.2661",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | ||||
google-bert/bert-base-uncased | fill-mask | transformers | apache-2.0 | true | 47,177,338 | 47,177,338 | 3,188 | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"coreml",
"onnx",
"safetensors",
"bert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"endpoints_compatible",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | sentence-similarity | sentence-transformers | apache-2.0 | true | 46,383,496 | 46,383,496 | 1,370 | [
"sentence-transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"multilingual",
"ar",
"bg",
"ca",
"cs",
"da",
"de",
"el",
"en",
"es",
"et",
"fa",
"fi",
"fr",
"gl",
"gu",
"he",
"hi"... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
BAAI/bge-m3 | sentence-similarity | sentence-transformers | mit | true | 37,793,325 | 37,793,325 | 3,491 | [
"sentence-transformers",
"pytorch",
"onnx",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"arxiv:2402.03216",
"arxiv:2004.04906",
"arxiv:2106.14807",
"arxiv:2107.05720",
"arxiv:2004.12832",
"license:mit",
"eval-results",
"text-embeddings-inference",
"endpoints_compatible",
... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
google-t5/t5-small | translation | transformers | apache-2.0 | true | 24,270,514 | 24,270,514 | 603 | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"onnx",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
sentence-transformers/all-mpnet-base-v2 | sentence-similarity | sentence-transformers | apache-2.0 | true | 24,088,055 | 24,088,055 | 1,352 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"openvino",
"mpnet",
"fill-mask",
"feature-extraction",
"sentence-similarity",
"transformers",
"text-embeddings-inference",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"datas... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
amazon/chronos-2 | time-series-forecasting | chronos-forecasting | apache-2.0 | true | 23,166,191 | 23,166,191 | 443 | [
"chronos-forecasting",
"safetensors",
"t5",
"time series",
"forecasting",
"foundation models",
"pretrained models",
"time-series-forecasting",
"dataset:autogluon/chronos_datasets",
"dataset:Salesforce/GiftEvalPretrain",
"arxiv:2403.07815",
"arxiv:2510.15821",
"license:apache-2.0",
"region:... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
FacebookAI/xlm-roberta-base | fill-mask | transformers | mit | true | 21,762,299 | 21,762,299 | 895 | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"xlm-roberta",
"fill-mask",
"exbert",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
openai/clip-vit-base-patch32 | zero-shot-image-classification | transformers | false | 21,183,912 | 21,183,912 | 1,404 | [
"transformers",
"pytorch",
"tf",
"jax",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | ||||
Qwen/Qwen3-0.6B | text-generation | transformers | apache-2.0 | true | 20,685,071 | 20,685,071 | 1,596 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-0.6B-Base",
"base_model:finetune:Qwen/Qwen3-0.6B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:sagemaker",
"deplo... | [] | small | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Comfy-Org/MiniMax-H3 | diffusion-single-file | other | false | 18,981,590 | 18,981,590 | 1,768 | [
"diffusion-single-file",
"comfyui",
"base_model:MiniMaxAI/MiniMax-H3",
"base_model:finetune:MiniMaxAI/MiniMax-H3",
"license:other",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
BAAI/bge-reranker-v2-m3 | text-classification | sentence-transformers | apache-2.0 | true | 18,178,285 | 18,178,285 | 1,168 | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"transformers",
"text-embeddings-inference",
"multilingual",
"arxiv:2312.15503",
"arxiv:2402.03216",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | text-generation | transformers | false | 17,924,207 | 17,924,207 | 25 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"trl",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
timm/mobilenetv3_small_100.lamb_in1k | image-classification | timm | apache-2.0 | true | 17,187,044 | 17,187,044 | 103 | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Comfy-Org/stable-diffusion-v1-5-archive | diffusion-single-file | creativeml-openrail-m | true | 16,873,471 | 16,873,471 | 128 | [
"diffusion-single-file",
"comfyui",
"en",
"base_model:runwayml/stable-diffusion-v1-5",
"base_model:finetune:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
Qwen/Qwen3-VL-8B-Instruct | image-text-to-text | transformers | apache-2.0 | true | 16,515,105 | 16,515,105 | 1,087 | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"region:us",
"deploy:sagemaker",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
nomic-ai/nomic-embed-text-v1.5 | sentence-similarity | sentence-transformers | apache-2.0 | true | 16,063,720 | 16,063,720 | 908 | [
"sentence-transformers",
"onnx",
"safetensors",
"nomic_bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"transformers",
"transformers.js",
"custom_code",
"en",
"arxiv:2402.01613",
"arxiv:2205.13147",
"license:apache-2.0",
"model-index",
"eval-results",
"text-embeddings-inf... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
openai-community/gpt2 | text-generation | transformers | mit | true | 15,074,191 | 15,074,191 | 3,912 | [
"transformers",
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"onnx",
"safetensors",
"gpt2",
"text-generation",
"exbert",
"en",
"doi:10.57967/hf/0039",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
jonatasgrosman/wav2vec2-large-xlsr-53-japanese | automatic-speech-recognition | transformers | apache-2.0 | true | 14,847,139 | 14,847,139 | 65 | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"ja",
"dataset:common_voice",
"doi:10.57967/hf/3568",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
BAAI/bge-large-en-v1.5 | feature-extraction | sentence-transformers | mit | true | 12,941,346 | 12,941,346 | 721 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"en",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"eval-resu... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3-8B | text-generation | transformers | apache-2.0 | true | 12,880,447 | 12,880,447 | 1,366 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"region... | [] | medium | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF | text-generation | transformers | apache-2.0 | true | 12,853,002 | 12,853,002 | 988 | [
"transformers",
"gguf",
"unsloth",
"qwen3",
"qwen",
"text-generation",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | [] | large | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
timm/efficientnet_b3.ra2_in1k | image-classification | timm | apache-2.0 | true | 12,355,613 | 12,355,613 | 7 | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
intfloat/multilingual-e5-small | sentence-similarity | sentence-transformers | mit | true | 12,176,490 | 12,176,490 | 401 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"openvino",
"bert",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3.6-35B-A3B-FP8 | image-text-to-text | transformers | apache-2.0 | true | 11,926,546 | 11,926,546 | 383 | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us",
"deploy:azure"
] | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
hexgrad/Kokoro-82M | text-to-speech | apache-2.0 | true | 11,603,416 | 11,603,416 | 6,846 | [
"text-to-speech",
"en",
"arxiv:2306.07691",
"arxiv:2203.02395",
"base_model:yl4579/StyleTTS2-LJSpeech",
"base_model:finetune:yl4579/StyleTTS2-LJSpeech",
"doi:10.57967/hf/4329",
"license:apache-2.0",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | ||||
argmaxinc/whisperkit-coreml | automatic-speech-recognition | whisperkit | mit | true | 11,570,426 | 11,570,426 | 207 | [
"whisperkit",
"coreml",
"whisper",
"asr",
"quantized",
"automatic-speech-recognition",
"license:mit",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
unsloth/Qwen3.8-27B-GGUF | apache-2.0 | true | 11,339,637 | 11,339,637 | 3,879 | [
"gguf",
"qwen3_5",
"unsloth",
"base_model:Qwen/Qwen3.8-27B",
"base_model:quantized:Qwen/Qwen3.8-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||||
BAAI/bge-base-en-v1.5 | feature-extraction | sentence-transformers | mit | true | 10,684,922 | 10,684,922 | 470 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"en",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"text-embe... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3.5-9B | image-text-to-text | transformers | apache-2.0 | true | 10,588,820 | 10,588,820 | 1,922 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-9B-Base",
"base_model:finetune:Qwen/Qwen3.5-9B-Base",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | medium | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen2.5-7B-Instruct | text-generation | transformers | apache-2.0 | true | 10,059,299 | 10,059,299 | 1,588 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"eval-results",
"text-generation-inference",
"endpoints_compatible... | [] | medium | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
nvidia/Qwen3.6-35B-A3B-NVFP4 | text-generation | Model Optimizer | apache-2.0 | true | 9,828,497 | 9,828,497 | 592 | [
"Model Optimizer",
"safetensors",
"qwen3_5_moe",
"nvidia",
"ModelOpt",
"Qwen3.6",
"quantized",
"FP4",
"fp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"8-bit",
"modelopt",
"deploy:azure",... | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
Bingsu/adetailer | ultralytics | apache-2.0 | true | 9,685,516 | 9,685,516 | 768 | [
"ultralytics",
"pytorch",
"dataset:wider_face",
"dataset:skytnt/anime-segmentation",
"doi:10.57967/hf/3633",
"license:apache-2.0",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | sentence-similarity | sentence-transformers | apache-2.0 | true | 9,290,968 | 9,290,968 | 495 | [
"sentence-transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"text-embeddings-inference",
"multilingual",
"ar",
"bg",
"ca",
"cs",
"da",
"de",
"el",
"en",
"es",
"et",
"fa",
"fi",
... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
autogluon/chronos-2 | time-series-forecasting | chronos-forecasting | apache-2.0 | true | 9,123,218 | 9,123,218 | 50 | [
"chronos-forecasting",
"safetensors",
"t5",
"time series",
"forecasting",
"foundation models",
"pretrained models",
"time-series-forecasting",
"dataset:autogluon/chronos_datasets",
"dataset:Salesforce/GiftEvalPretrain",
"arxiv:2403.07815",
"arxiv:2510.15821",
"license:apache-2.0",
"region:... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
pyannote/speaker-diarization-3.1 | automatic-speech-recognition | pyannote-audio | mit | true | 9,032,600 | 9,032,600 | 3,518 | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"voice-activity-detection",
"overlapped-speech-detection",
"automatic-speech-recognition",
"arxiv:2111.14448",
"arxiv:2012.01477",
"license:m... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
google/gemma-4-26B-A4B-it | image-text-to-text | transformers | apache-2.0 | true | 8,983,063 | 8,983,063 | 1,487 | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"conversational",
"arxiv:2607.02770",
"base_model:google/gemma-4-26B-A4B",
"base_model:finetune:google/gemma-4-26B-A4B",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:sagemaker",
"deploy:azure",
"region:... | [] | large | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
amazon/chronos-bolt-small | time-series-forecasting | chronos-forecasting | apache-2.0 | true | 8,925,867 | 8,925,867 | 24 | [
"chronos-forecasting",
"safetensors",
"t5",
"time series",
"forecasting",
"pretrained models",
"foundation models",
"time series foundation models",
"time-series",
"time-series-forecasting",
"arxiv:1910.10683",
"arxiv:2403.07815",
"license:apache-2.0",
"region:us",
"deploy:sagemaker"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
google/gemma-4-31B-it | image-text-to-text | transformers | apache-2.0 | true | 8,676,676 | 8,676,676 | 3,762 | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"conversational",
"arxiv:2607.02770",
"base_model:google/gemma-4-31B",
"base_model:finetune:google/gemma-4-31B",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | large | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
facebook/opt-125m | text-generation | transformers | other | false | 8,346,527 | 8,346,527 | 296 | [
"transformers",
"pytorch",
"tf",
"jax",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"arxiv:2005.14165",
"license:other",
"text-generation-inference",
"region:us",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
laion/clap-htsat-fused | audio-classification | transformers | apache-2.0 | true | 8,298,755 | 8,298,755 | 128 | [
"transformers",
"pytorch",
"safetensors",
"clap",
"feature-extraction",
"zero-shot audio classification",
"zero-shot audio retrieval",
"audio-classification",
"en",
"arxiv:2211.06687",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
facebook/contriever | transformers | false | 7,998,573 | 7,998,573 | 97 | [
"transformers",
"pytorch",
"bert",
"arxiv:2112.09118",
"endpoints_compatible",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||||
Qwen/Qwen3-Embedding-0.6B | feature-extraction | sentence-transformers | apache-2.0 | true | 7,972,644 | 7,972,644 | 1,192 | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-0.6B-Base",
"base_model:finetune:Qwen/Qwen3-0.6B-Base",
"license:apache-2.0",
"endpoints_co... | [] | small | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
openai/clip-vit-large-patch14 | zero-shot-image-classification | transformers | false | 7,871,909 | 7,871,909 | 2,075 | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | ||||
Qwen/Qwen3.8-27B-FP8 | image-text-to-text | transformers | apache-2.0 | true | 7,671,809 | 7,671,809 | 784 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.8-27B",
"base_model:quantized:Qwen/Qwen3.8-27B",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us"
] | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
FacebookAI/roberta-base | fill-mask | transformers | mit | true | 7,662,414 | 7,662,414 | 642 | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"license:mit",
"endpoints_compatible",
"region:us",
"deploy:sagemaker",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen2.5-VL-7B-Instruct | image-text-to-text | transformers | apache-2.0 | true | 7,608,609 | 7,608,609 | 1,702 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3.8-27B | image-text-to-text | transformers | apache-2.0 | true | 7,563,763 | 7,563,763 | 14,720 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"deploy:sagemaker",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
Comfy-Org/z_image_turbo | diffusion-single-file | apache-2.0 | true | 7,540,509 | 7,540,509 | 874 | [
"diffusion-single-file",
"comfyui",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:finetune:Tongyi-MAI/Z-Image-Turbo",
"license:apache-2.0",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
distilbert/distilbert-base-uncased | fill-mask | transformers | apache-2.0 | true | 7,386,357 | 7,386,357 | 1,346 | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"distilbert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"deploy:sagemaker",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen2.5-1.5B-Instruct | text-generation | transformers | apache-2.0 | true | 7,268,416 | 7,268,416 | 824 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-1.5B",
"base_model:finetune:Qwen/Qwen2.5-1.5B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | medium | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
farbodtavakkoli/OTel-2.0-LLM-31B-IT | text-generation | transformers | apache-2.0 | true | 7,246,115 | 7,246,115 | 15 | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"telecom",
"telecommunications",
"gsma",
"at-t",
"microsoft",
"dell",
"amd",
"red-hat",
"open-telco-ai",
"rag",
"instruction-following",
"tool-calling",
"osft",
"orthogonal-subspace-fine-tuning",
"continual-learning",... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
intfloat/multilingual-e5-base | sentence-similarity | sentence-transformers | mit | true | 7,246,005 | 7,246,005 | 383 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"openvino",
"xlm-roberta",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"e... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen2.5-0.5B-Instruct | text-generation | transformers | apache-2.0 | true | 7,225,322 | 7,225,322 | 623 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-0.5B",
"base_model:finetune:Qwen/Qwen2.5-0.5B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | [] | small | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3.5-4B | image-text-to-text | transformers | apache-2.0 | true | 7,196,884 | 7,196,884 | 910 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-4B-Base",
"base_model:finetune:Qwen/Qwen3.5-4B-Base",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | medium | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
coqui/XTTS-v2 | text-to-speech | coqui | other | false | 7,171,261 | 7,171,261 | 3,777 | [
"coqui",
"text-to-speech",
"license:other",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3.6-27B-FP8 | image-text-to-text | transformers | apache-2.0 | true | 7,033,142 | 7,033,142 | 356 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us",
"deploy:azure",
"deploy:sagemaker"
] | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
intfloat/multilingual-e5-large | feature-extraction | sentence-transformers | mit | true | 6,991,169 | 6,991,169 | 1,248 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"openvino",
"xlm-roberta",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"feature-extraction",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"d... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
openai/whisper-large-v3-turbo | automatic-speech-recognition | transformers | mit | true | 6,890,829 | 6,890,829 | 3,313 | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"hu",
... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
autogluon/chronos-2-small | time-series-forecasting | chronos-forecasting | apache-2.0 | true | 6,821,195 | 6,821,195 | 6 | [
"chronos-forecasting",
"safetensors",
"t5",
"time series",
"forecasting",
"foundation models",
"pretrained models",
"time-series-forecasting",
"dataset:autogluon/chronos_datasets",
"dataset:Salesforce/GiftEvalPretrain",
"arxiv:2510.15821",
"license:apache-2.0",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
openai/gpt-oss-20b | text-generation | transformers | apache-2.0 | true | 6,599,829 | 6,599,829 | 5,017 | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"vllm",
"conversational",
"arxiv:2508.10925",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"8-bit",
"mxfp4",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
pyannote/wespeaker-voxceleb-resnet34-LM | pyannote-audio | cc-by-4.0 | true | 6,468,100 | 6,468,100 | 170 | [
"pyannote-audio",
"pytorch",
"pyannote",
"pyannote-audio-model",
"wespeaker",
"audio",
"voice",
"speech",
"speaker",
"speaker-recognition",
"speaker-verification",
"speaker-identification",
"speaker-embedding",
"dataset:voxceleb",
"license:cc-by-4.0",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
ibm-granite/granite-embedding-small-english-r2 | feature-extraction | sentence-transformers | apache-2.0 | true | 6,345,927 | 6,345,927 | 78 | [
"sentence-transformers",
"pytorch",
"safetensors",
"modernbert",
"feature-extraction",
"granite",
"embeddings",
"transformers",
"mteb",
"en",
"arxiv:2508.21085",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
FacebookAI/roberta-large | fill-mask | transformers | mit | true | 6,279,359 | 6,279,359 | 319 | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"license:mit",
"endpoints_compatible",
"region:us",
"deploy:sagemaker",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
autogluon/chronos-bolt-small | time-series-forecasting | apache-2.0 | true | 6,268,973 | 6,268,973 | 61 | [
"safetensors",
"t5",
"time series",
"forecasting",
"pretrained models",
"foundation models",
"time series foundation models",
"time-series",
"time-series-forecasting",
"arxiv:1910.10683",
"arxiv:2403.07815",
"license:apache-2.0",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | ||||
meta-llama/Llama-3.2-1B-Instruct | text-generation | transformers | llama3.2 | true | 6,258,911 | 6,258,911 | 1,625 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"arxiv:2405.16406",
"license:llama3.2",
"eval-results",
"text-generation-inference",
... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3-4B | text-generation | transformers | apache-2.0 | true | 6,222,186 | 6,222,186 | 696 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:sa... | [] | medium | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Comfy-Org/Krea-2 | diffusion-single-file | other | false | 6,126,557 | 6,126,557 | 540 | [
"diffusion-single-file",
"comfyui",
"base_model:krea/Krea-2-Raw",
"base_model:finetune:krea/Krea-2-Raw",
"license:other",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
pyannote/segmentation-3.0 | voice-activity-detection | pyannote-audio | mit | true | 5,896,353 | 5,896,353 | 1,755 | [
"pyannote-audio",
"pytorch",
"pyannote",
"pyannote-audio-model",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"speaker-segmentation",
"voice-activity-detection",
"overlapped-speech-detection",
"resegmentation",
"license:mit",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
google/vit-base-patch16-224 | image-classification | transformers | apache-2.0 | true | 5,744,165 | 5,744,165 | 996 | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"vit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
cross-encoder/ms-marco-MiniLM-L4-v2 | text-ranking | sentence-transformers | apache-2.0 | true | 5,653,790 | 5,653,790 | 29 | [
"sentence-transformers",
"pytorch",
"jax",
"onnx",
"safetensors",
"openvino",
"bert",
"text-classification",
"transformers",
"text-ranking",
"en",
"dataset:sentence-transformers/msmarco",
"base_model:cross-encoder/ms-marco-MiniLM-L12-v2",
"base_model:quantized:cross-encoder/ms-marco-MiniLM... | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
meta-llama/Llama-3.1-8B-Instruct | text-generation | transformers | llama3.1 | true | 5,620,096 | 5,620,096 | 6,892 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:finetune:meta-llama/Llama-3.1-8B",
"lic... | [] | medium | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
openai/gpt-oss-120b | text-generation | transformers | apache-2.0 | true | 5,463,732 | 5,463,732 | 5,186 | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"vllm",
"conversational",
"arxiv:2508.10925",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"8-bit",
"mxfp4",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
ProsusAI/finbert | text-classification | transformers | false | 5,463,538 | 5,463,538 | 1,241 | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"financial-sentiment-analysis",
"sentiment-analysis",
"en",
"arxiv:1908.10063",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | ||||
Qwen/Qwen2.5-3B-Instruct | text-generation | transformers | other | false | 5,415,262 | 5,415,262 | 566 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-3B",
"base_model:finetune:Qwen/Qwen2.5-3B",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | medium | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Comfy-Org/Wan_2.2_ComfyUI_Repackaged | image-to-video | diffusion-single-file | apache-2.0 | true | 5,391,397 | 5,391,397 | 871 | [
"diffusion-single-file",
"comfyui",
"image-to-video",
"base_model:Wan-AI/Wan2.2-Animate-14B",
"base_model:finetune:Wan-AI/Wan2.2-Animate-14B",
"license:apache-2.0",
"region:us"
] | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
jonatasgrosman/wav2vec2-large-xlsr-53-portuguese | automatic-speech-recognition | transformers | apache-2.0 | true | 5,312,876 | 5,312,876 | 55 | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"pt",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"doi:... | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3-32B | text-generation | transformers | apache-2.0 | true | 5,273,218 | 5,273,218 | 745 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"license:apache-2.0",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:sagemaker",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
pyannote/speaker-diarization-community-1 | automatic-speech-recognition | pyannote-audio | cc-by-4.0 | true | 5,035,576 | 5,035,576 | 1,584 | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"voice-activity-detection",
"overlapped-speech-detection",
"automatic-speech-recognition",
"arxiv:2104.03603",
"arxiv:2111.14448",
"arxiv:201... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
openai/whisper-large-v3 | automatic-speech-recognition | transformers | apache-2.0 | true | 5,008,122 | 5,008,122 | 6,263 | [
"transformers",
"pytorch",
"jax",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
MiniMaxAI/MiniMax-H3 | image-text-to-video | minimax-h3 | other | false | 4,970,363 | 4,970,363 | 5,143 | [
"minimax-h3",
"diffusers",
"safetensors",
"text-to-video",
"image-to-video",
"image-text-to-video",
"video-to-video",
"text-to-audio-video",
"image-to-audio-video",
"image-text-to-audio-video",
"video-to-audio-video",
"audio-to-audio-video",
"audio-video-generation",
"multimodal",
"synch... | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
BAAI/bge-small-zh-v1.5 | feature-extraction | transformers | mit | true | 4,949,237 | 4,949,237 | 139 | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
dphn/dolphin-2.9.1-yi-1.5-34b | text-generation | transformers | apache-2.0 | true | 4,809,337 | 4,809,337 | 65 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"axolotl",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"da... | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
google/gemma-4-E4B-it | any-to-any | transformers | apache-2.0 | true | 4,777,804 | 4,777,804 | 1,544 | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"any-to-any",
"arxiv:2607.02770",
"base_model:google/gemma-4-E4B",
"base_model:finetune:google/gemma-4-E4B",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | medium | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
answerdotai/ModernBERT-base | fill-mask | transformers | apache-2.0 | true | 4,727,524 | 4,727,524 | 1,095 | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"modernbert",
"fill-mask",
"masked-lm",
"long-context",
"en",
"arxiv:2412.13663",
"license:apache-2.0",
"region:us",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
meta-llama/Prompt-Guard-86M | text-classification | transformers | llama3.1 | true | 4,537,985 | 4,537,985 | 401 | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"en",
"license:llama3.1",
"text-embeddings-inference",
"endpoints_compatible",
"region:us",
"deploy:sagemaker"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
microsoft/mdeberta-v3-base | fill-mask | transformers | mit | true | 4,530,869 | 4,530,869 | 237 | [
"transformers",
"pytorch",
"tf",
"deberta-v2",
"deberta",
"deberta-v3",
"mdeberta",
"fill-mask",
"multilingual",
"en",
"ar",
"bg",
"de",
"el",
"es",
"fr",
"hi",
"ru",
"sw",
"th",
"tr",
"ur",
"vi",
"zh",
"arxiv:2006.03654",
"arxiv:2111.09543",
"license:mit",
"end... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3.6-27B | image-text-to-text | transformers | apache-2.0 | true | 4,445,698 | 4,445,698 | 2,291 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:sagemaker",
"deploy:azure",
"region:us"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
lmstudio-community/Qwen3.8-27B-MLX-4bit | image-text-to-text | transformers | apache-2.0 | true | 4,423,813 | 4,423,813 | 40 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"mlx",
"conversational",
"base_model:Qwen/Qwen3.8-27B",
"base_model:quantized:Qwen/Qwen3.8-27B",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"region:us"
] | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
dbmdz/bert-large-cased-finetuned-conll03-english | token-classification | transformers | false | 4,422,294 | 4,422,294 | 98 | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"token-classification",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | ||||
deepseek-ai/DeepSeek-V4-Flash-0731 | text-generation | transformers | mit | true | 4,397,122 | 4,397,122 | 3,932 | [
"transformers",
"safetensors",
"deepseek_v4",
"text-generation",
"conversational",
"arxiv:2606.19348",
"license:mit",
"eval-results",
"endpoints_compatible",
"8-bit",
"fp8",
"deploy:azure",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
datasocietyco/bge-base-en-v1.5-course-recommender-v5 | sentence-similarity | sentence-transformers | false | 4,259,218 | 4,259,218 | 3 | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:45",
"loss:MultipleNegativesRankingLoss",
"arxiv:1908.10084",
"arxiv:1705.00652",
"base_model:BAAI/bge-base-en-v1.5",
"base_model:finetune:BAAI/bge-base-en-v1.5"... | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | ||||
ornith-ai/Ornith-1.5-9B-GGUF | text-generation | transformers | mit | true | 4,238,715 | 4,238,715 | 339 | [
"transformers",
"gguf",
"text-generation",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | [] | unknown | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
lmstudio-community/Qwen3.8-27B-MLX-8bit | image-text-to-text | transformers | apache-2.0 | true | 4,186,982 | 4,186,982 | 22 | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"mlx",
"conversational",
"base_model:Qwen/Qwen3.8-27B",
"base_model:quantized:Qwen/Qwen3.8-27B",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"region:us"
] | [] | large | false | false | 1 | 2026-09-11T14:38:14.938000 | |||
Qwen/Qwen3-VL-4B-Instruct | image-text-to-text | transformers | apache-2.0 | true | 4,185,427 | 4,185,427 | 463 | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
laion/CLIP-ViT-L-14-laion2B-s32B-b82K | zero-shot-image-classification | open_clip | mit | true | 4,153,850 | 4,153,850 | 66 | [
"open_clip",
"pytorch",
"tensorboard",
"safetensors",
"clip",
"zero-shot-image-classification",
"arxiv:2110.09456",
"arxiv:2111.09883",
"arxiv:1910.04867",
"license:mit",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 | |||
facebook/dinov2-small | image-feature-extraction | transformers | apache-2.0 | true | 4,133,826 | 4,133,826 | 73 | [
"transformers",
"pytorch",
"safetensors",
"dinov2",
"image-feature-extraction",
"dino",
"vision",
"arxiv:2304.07193",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | [] | unknown | true | false | 1 | 2026-09-11T14:38:14.938000 |
End of preview. Expand in Data Studio
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🤖 AI/ML Model Intelligence & Due Diligence
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Contact: anya@alphaville.space
Continuous telemetry across popular open-weight and open-source models on Hugging Face Hub. Tracks commercial license safety, parameter size brackets, download velocity, academic paper affiliations, and enterprise readiness.
Dataset Structure
| Field | Type | Description |
|---|---|---|
model_id |
string | HuggingFace canonical model ID |
author |
string | Organization / Creator |
pipeline_tag |
string | Task (text-generation, etc.) |
license |
string | Declared model license |
is_commercial_friendly |
boolean | Commercial deployment safety flag |
downloads_total |
int | Lifetime downloads |
downloads_month |
int | 30-day velocity metric |
trending_score |
float | Momentum ratio |
has_paper |
boolean | Peer-reviewed research backing |
Quick Start (Python)
from datasets import load_dataset
dataset = load_dataset('alphaville-insights-inc/ai_data_hf_models')
print(dataset['train'][0])
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