EuroLLM-1.7B-Instruct
utter-project/EuroLLM-1.7B-Instruct
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 216.8K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 907.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +2,620(increase)
- 0.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 104
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #357 among tracked Text Generation models.
- #1,456
- 2128(up 2128 places)this week
- Parameters
- 1.7B
- Last source update
- Dec 16, 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.
- 55.0
- EuroLLM-1.7B-Instruct gained 2,620 downloads during the last seven tracked days.
- It moved from #803 to #357 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
EuroLLM-1.7B-Instruct is a text generation model published by utter-project. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 5, 2026.
- Published
- Aug 6, 2024
- Last updated
- Dec 16, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 1,656,850,432
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 374
transformerssafetensorsllamatext-generationconversationalendeesfritptpl
Publisher
utter-projectView publisher statistics →Derived from utter-project/EuroLLM-1.7B (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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