Qwen3-0.6B-Gensyn-Swarm-wise_crested_cat
Papaperez/Qwen3-0.6B-Gensyn-Swarm-wise_crested_cat
Tracked by OpenModelStats since September 11, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 4,717
- Total downloadsCumulative all-time download counter reported by the source platform.
- 4,975
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +70(increase)
- 1.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #3067 among tracked Text Generation models.
- #12,102
- 10(down 10 places)this week
- Parameters
- 596M
- Last source update
- Nov 28, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 33.4
- Qwen3-0.6B-Gensyn-Swarm-wise_crested_cat gained 70 downloads during the last seven tracked days.
- It moved from #3085 to #3067 among tracked Text Generation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Qwen3-0.6B-Gensyn-Swarm-wise_crested_cat is a text generation model published by Papaperez. OpenModelStats has tracked the model since Sep 11, 2026, most recently observing it Sep 25, 2026.
- Published
- Sep 4, 2025
- Last updated
- Nov 28, 2025
- Library
- transformers
- License
- —
- Task
- Text Generation
- Parameters
- 596,049,920
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 10
transformerssafetensorsqwen3text-generationrl-swarmgenrl-swarmgrpogensynI am wise_crested_catarxiv:1910.09700text-generation-inferenceendpoints_compatible
Publisher
PapaperezView publisher statistics →Similar models
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