Language, speech & LLMs· 2024
Mixtral of Experts
On the reading lists
- #86 in Language, speech & LLMs (2026 edition)
Why it matters
Released high-performing open sparse mixture-of-experts model.
Condensed from the expert lists' notes.
The record
- First released
- 2024 (from arXiv 2401.04088)
- Citations
- 2,214 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Deep learning
- Score
- 0.328 · computed rank 538 · consensus 0.425, must-read 0, citations percentile 0.573 (2020s · language), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.