starcoder2-15b
bigcode/starcoder2-15b
Tracked by OpenModelStats since October 1, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 5,041
- Total downloadsCumulative all-time download counter reported by the source platform.
- 575.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +998(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 683
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #3213 among tracked Text Generation models.
- #12,621
- 944(up 944 places)this week
- Parameters
- 16B
- Last source update
- Jun 5, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 49.0
- starcoder2-15b gained 998 downloads during the last seven tracked days.
- It moved from #3467 to #3213 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
starcoder2-15b is a text generation model published by bigcode. OpenModelStats has tracked the model since Oct 1, 2026, most recently observing it 2h ago.
- Published
- Feb 20, 2024
- Last updated
- Jun 5, 2024
- Library
- transformers
- License
- bigcode-openrail-m
- Task
- Text Generation
- Parameters
- 15,957,889,024
- Spaces
- —
- Derivative models
- 2
- Velocity 7D/day
- 143
transformerssafetensorsstarcoder2text-generationcodedataset:bigcode/the-stack-v2-trainarxiv:2305.13245arxiv:2205.14135arxiv:2004.05150arxiv:2207.14255arxiv:2402.19173license:bigcode-openrail-m
Publisher
bigcodeView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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