Dhanishtha-2.0-preview
HelpingAI/Dhanishtha-2.0-preview
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 75
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2,866
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +16(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 59
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #16634 among tracked Text Generation models.
- #54,123
- 363(down 363 places)this week
- Parameters
- 14.8B
- Last source update
- Jul 29, 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.
- 24.3
- Dhanishtha-2.0-preview gained 16 downloads during the last seven tracked days.
- It moved from #16444 to #16634 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
Dhanishtha-2.0-preview is a text generation model published by HelpingAI. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 5, 2026.
- Published
- Jun 9, 2025
- Last updated
- Jul 29, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 14,768,307,200
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 2
transformerssafetensorsqwen3text-generationreasoningintermediate-thinkingconversationalbilingualenhizhes
Publisher
HelpingAIView publisher statistics →Derived from Qwen/Qwen3-14B-Base (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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