Claims and evidence
- Released The model cards state no release date; the date is that of the SlimMoE paper, whose abstract says the models are publicly available and links both repositories. Primary source[1]Abstract (models made publicly available); v1 submission date
- Status AvailableWeights remain downloadable from Microsoft's Hugging Face organisation (checked 2026-10-01). Primary source[2]weights and licence (MIT)
- Derived from (distillation) Phi-3.5Compressed from Phi-3.5-MoE (an inline variant of the Phi-3.5 record) with the SlimMoE method of expert slimming and staged distillation, then post-trained with supervised fine-tuning and direct preference optimization. The model card says the starting point is the base model shared by Phi-3.5-MoE and GRIN-MoE. Primary source[1]Abstract [2]Model Summary
- Change · Size Compressed to 7.6B total and 2.4B active parameters, from 41.9B total and 6.6B active in Phi-3.5-MoE.Compared with Phi-3.5 Primary source[1]
- Change · Architecture Experts slimmed with the SlimMoE compression framework, with knowledge transferred through staged distillation.Compared with Phi-3.5 Primary source[1]Abstract
- Input text Primary source[2]Training, Model: Inputs
- Output text Primary source[2]Training, Model: Outputs
- Open weights Yes Primary source[2]licence: MIT [1]Abstract
- Context window 4k tokens Primary source[2]Training, Model: Context length
- Parameters 7.6B total, 2.4B active Primary source[2]Model Summary; Training, Model: Architecture [1]Abstract
- Access Open-weights download Primary source[2]Usage: Loading the model locally
Lineage
Predecessors
No known predecessor.
Successors
No known successor.
Based on
- Phi-3.5 · August 2024 · derived (distillation)
Variants and derived
None recorded.
Siblings
None recorded.
All ancestors
All descendants
None.
Variants
Phi-tiny-MoE
Same dates as Phi-mini-MoE.
- Variant Inline variant in this record.Smaller model of the same SlimMoE release; the paper presents both as compressed versions of Phi-3.5-MoE. Same 4k context. Primary source[3]Model Summary [1]Abstract
Also known as: Phi-tiny-MoE-instruct
Differs in:
Related AI Radar coverage
AI Radar coverage starts in June 2026; no coverage linked yet.