ReflectionCoder-DS-33B
SenseLLM/ReflectionCoder-DS-33B
Tracked by OpenModelStats since September 29, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 8,606
- Total downloadsCumulative all-time download counter reported by the source platform.
- 170.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +2,079(increase)
- 1.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2176 among tracked Text Generation models.
- #8,869
- 20(down 20 places)this week
- Parameters
- 33.3B
- Last source update
- Jul 1, 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.
- 57.8
- ReflectionCoder-DS-33B gained 2,079 downloads during the last seven tracked days.
- It moved from #2170 to #2176 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
ReflectionCoder-DS-33B is a text generation model published by SenseLLM. OpenModelStats has tracked the model since Sep 29, 2026, most recently observing it Oct 5, 2026.
- Published
- May 28, 2024
- Last updated
- Jul 1, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 33,339,737,088
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 297
transformerssafetensorsllamatext-generationconversationalendataset:SenseLLM/ReflectionSeq-GPTdataset:SenseLLM/ReflectionSeq-DSarxiv:2405.17057license:apache-2.0text-generation-inferenceendpoints_compatible
Publisher
SenseLLMView publisher statistics →Similar models
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