LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,577
- Total downloadsCumulative all-time download counter reported by the source platform.
- 144.8K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,572(increase)
- 1.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 7
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #323 among tracked Sentence Similarity models.
- #11,073
- 493(down 493 places)this week
- Parameters
- —
- Last source update
- Apr 11, 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.
- 56.2
- LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse gained 1,572 downloads during the last seven tracked days.
- It moved from #311 to #323 among tracked Sentence Similarity models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse is a sentence similarity model published by McGill-NLP. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Apr 4, 2024
- Last updated
- Apr 11, 2024
- Library
- peft
- License
- mit
- Task
- Sentence Similarity
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 225
peftsafetensorstext-embeddingembeddingsinformation-retrievalbeirtext-classificationlanguage-modeltext-clusteringtext-semantic-similaritytext-evaluationtext-reranking
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