Phi-3.5-MoE-instruct
Unknown Developer
Phi-3.5-MoE-Instruct is a highly efficient mixture-of-experts model, featuring approximately 42 billion total parameters with 6.6 billion active parameters. Boasting an extensive 128K context window, this model demonstrates exceptional capabilities in reasoning, mathematics, coding, and multilingual applications. In numerous benchmarks, it surpasses the performance of larger, dense models. Rigorously refined through safety-focused post-training, including SFT and DPO, Phi-3.5-MoE-Instruct is released under the MIT license. It is particularly well-suited for tasks demanding both high performance and efficiency, especially in multilingual contexts or those requiring sophisticated reasoning.
Model Specifications
Technical details and capabilities of Phi-3.5-MoE-instruct
Core Specifications
60.0B Parameters
Model size and complexity
4900.0B Training Tokens
Amount of data used in training
128.0K / 128.0K
Input / Output tokens
September 30, 2023
Knowledge cutoff date
August 22, 2024
Release date
Performance Insights
Check out how Phi-3.5-MoE-instruct handles various AI tasks through comprehensive benchmark results.
Detailed Benchmarks
Dive deeper into Phi-3.5-MoE-instruct's performance across specific task categories. Expand each section to see detailed metrics and comparisons.
Math
GSM8K
Coding
HumanEval
MBPP
Reasoning
HellaSwag
Knowledge
MMLU
GPQA
MATH
Hallucination
TruthfulQA
Non categorized
Arena Hard
BigBench Hard CoT
MMLU-Pro
ARC Challenge
BoolQ
OpenBookQA
PIQA
WinoGrande
Multilingual MMLU
MGSM
SQuALITY
Multilingual MMLU-Pro
MEGA XStoryCloze
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