Phi-3.5-MoE-instruct
MicrosoftPhi開源權重MIT · 商用許可
描述
Phi-3.5-MoE-instruct is a mixture-of-experts model with ~42B total parameters (6.6B active) and a 128K context window. It excels at reasoning, math, coding, and multilingual tasks, outperforming larger dense models in many benchmarks. It underwent a thorough safety post-training process (SFT + DPO) and is licensed under MIT. This model is ideal for scenarios where efficiency and high performance are both required, particularly in multi-lingual or reasoning-intensive tasks.
發布日期
2024-08-23
參數規模
60.0B
上下文長度
—
支援模態
—
能力雷達圖
70
general
70
coding
70
reasoning
34
science估算
70
agents
0
multimodal
缺少專門科學評測時,Science 由 LLM Stats 科學得分或推理能力估算。
排行榜排名
暫無排名資料
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))General
MMLU
78.9%自報
TruthfulQA
77.5%自報
Arena Hard
37.9%自報
Language
BoolQ
84.6%自報
MMMLU
69.9%自報
MEGA TyDi QA
67.1%自報
MEGA MLQA
65.3%自報
MEGA UDPOS
60.4%自報
MMLU-Pro
45.3%自報
Long Context
RULER
87.1%自報
RepoQA
85.0%自報
Math
GSM8k
88.7%自報
MATH
59.5%自報
MGSM
58.7%自報
Reasoning
ARC-C
91.0%自報
OpenBookQA
89.6%自報
PIQA
88.6%自報
HellaSwagAI2 (2019)
83.8%自報
MEGA XStoryCloze
82.8%自報
Winogrande
81.3%自報
MBPP
0.81 / 100自報
BIG-Bench Hard
79.1%自報
Social IQa
78.0%自報
MEGA XCOPA
76.6%自報
HumanEvalOpenAI (2021)
70.7%自報
Qasper
40.0%自報
GPQANYU + Cohere + Anthropic (2023)
36.8%自報
Summarization
GovReport
26.4%自報
SQuALITY
24.1%自報
QMSum
19.9%自報
SummScreenFD
16.9%自報
AA 評測指數
(Artificial Analysis)暫無 AA 評測資料
LLM Stats 分類評分
(LLM Stats (zeroeval))Psychology80
Language70
Legal70
Math70
Reasoning70
Finance70
General70
Healthcare70
Code70
Long Context60
Physics60
Creativity60
Chat40
Biology40
Chemistry40
Writing40
Summarization20
定價
暫無定價資料
速度
暫無速度資料
供應商價格排行
暫無提供商資料