glm-4vq
nikravan/glm-4vq
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 26
- Total downloadsCumulative all-time download counter reported by the source platform.
- 15.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 37
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #6 among tracked Document Question Answering models.
- #32,327
- 29285(down 29285 places)this week
- Parameters
- 14.1B
- Last source update
- Jun 16, 2024
- It moved from #1 to #6 among tracked Document Question Answering models this week.
Downloads over time
Rolling recent-window downloads as reportedNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
glm-4vq is a document question answering model published by nikravan. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Jun 10, 2024
- Last updated
- Jun 16, 2024
- Library
- transformers
- License
- —
- Task
- Document Question Answering
- Parameters
- 14,113,289,466
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorschatglmfeature-extractiontext-generation-inferencedocument-question-answeringcustom_codeendefrfaar
Publisher
nikravanView publisher statistics →Similar models
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