181K models tracked · refreshed 30 days ago

Track the models shaping open-source AI

Daily download history, growth metrics and rankings for open-source AI models — built from our own observations, so you can see how a model got here, not just where it stands today.

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Models tracked
181K
Observations
3.7M
Publishers
46.3K
Last refresh
30 days ago

Trending now

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  1. 1DeepSeek-V4.1-Flash-1017deepseek-ai1,975—
  2. 2flux-3-image-klein-comfyblack-forest-labs914—
  3. 3Qwen-Image-2.1-GGUFabenzerps914—
  4. 4Qwen-Image-2.1-Uncensored-GGUFabenzerps602—
  5. 5Muse-Spark-Open-816B-A42Bmeta-models582—
  6. 6flux-3-image-kleinblack-forest-labs543—
  7. 7MOSS-Image-SFTOpenMOSS-Team506—
  8. 8TeleOCRStarDoc-AI49679.6%(up)
  9. 9drama-3fishaudio494—
  10. 10MOSS-Image-BaseOpenMOSS-Team449—

Most downloaded

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  1. 1all-MiniLM-L6-v2sentence-transformers198.6M1.6%(up)
  2. 2ms-marco-MiniLM-L6-v2cross-encoder73.1M3.8%(up)
  3. 3bge-small-en-v1.5BAAI55.4M3.4%(up)
  4. 4paraphrase-multilingual-MiniLM-L12-v2sentence-transformers41.9M1.9%(up)
  5. 5electra-base-discriminatorgoogle38.9M0.4%(up)
  6. 6bge-m3BAAI30.4M3.0%(up)
  7. 7bert-base-uncasedgoogle-bert28.9M0.4%(up)
  8. 8Qwen3-0.6BQwen26.7M4.3%(up)
  9. 9MiniMax-H3Comfy-Org25.8M16.4%(up)
  10. 10t5-smallgoogle-t524.1M2.2%(up)

Fastest growing

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Downloads gained in the last 7 tracked days

  1. 1all-MiniLM-L6-v2sentence-transformers+59.9M1.6%(up)
  2. 2ms-marco-MiniLM-L6-v2cross-encoder+21.2M3.8%(up)
  3. 3bge-small-en-v1.5BAAI+15.5M3.4%(up)
  4. 4bert-base-uncasedgoogle-bert+11.9M0.4%(up)
  5. 5paraphrase-multilingual-MiniLM-L12-v2sentence-transformers+11.3M1.9%(up)
  6. 6Qwen3-0.6BQwen+9.2M4.3%(up)
  7. 7bge-m3BAAI+8.9M3.0%(up)
  8. 8mobilenetv3_small_100.lamb_in1ktimm+5.9M0.5%(up)
  9. 9t5-smallgoogle-t5+5.8M2.2%(up)
  10. 10chronos-2amazon+5.7M3.4%(up)

New & rising

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  1. 1MiniMax-H3Comfy-Org25.8M16.4%(up)
  2. 2Qwen-Image-2.1Comfy-Org10.5M—
  3. 3Qwen3.8-27BQwen7.8M19.2%(up)
  4. 4Qwen3.8-Flash-Next-GSQ-RCO-GGUFISTA-DASLab6.4M—
  5. 5GLM-5.3-Flashzai-org6.4M87.0%(up)
  6. 6Qwen3.8-27B-GGUFunsloth5.9M15.0%(up)
  7. 7YuE2-GGUFServeurperso5.4M151.4%(up)
  8. 8Ornith-1.5-9B-GGUFornith-ai5.1M26.7%(up)
  9. 9MiniMax-H3MiniMaxAI5M13.2%(up)
  10. 10Qwen3.8-27B-FP8Qwen4.3M14.7%(up)

Explore by task

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Top publishers

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  1. 1sentence-transformers292.6M
  2. 2Qwen255.3M
  3. 3BAAI134.9M
  4. 4google120.8M
  5. 5cross-encoder86.7M
  6. 6Comfy-Org86.3M
  7. 7facebook58.4M
  8. 8unsloth55.5M
  9. 9openai54.9M
  10. 10timm47.2M

What OpenModelStats tracks

Historical snapshots

Every day, OpenModelStats records what it observes about each tracked model — downloads, likes and rank positions — building a history that did not exist anywhere else.

How observation works →

Growth & velocity

Interval gains are derived only from changes in cumulative counters between OpenModelStats observations. When a number cannot be calculated reliably, we show nothing at all.

How metrics are computed →

Independent rankings

Rankings compare tracked models against each other and are labeled as such. Accuracy matters more than impressive-sounding numbers.

See current rankings →