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))Biology
GPQANYU + Cohere + Anthropic (2023)
36.8%自報
Code
RepoQA
85.0%自報
HumanEvalOpenAI (2021)
70.7%自報
Creativity
Social IQa
78.0%自報
Arena Hard
37.9%自報
Finance
MMLU
78.9%自報
TruthfulQA
77.5%自報
MMLU-Pro
45.3%自報
General
ARC-C
91.0%自報
OpenBookQA
89.6%自報
PIQA
88.6%自報
MBPP
0.81 / 100自報
MMMLU
69.9%自報
Language
BoolQ
84.6%自報
MEGA XStoryCloze
82.8%自報
Winogrande
81.3%自報
BIG-Bench Hard
79.1%自報
MEGA XCOPA
76.6%自報
MEGA TyDi QA
67.1%自報
MEGA MLQA
65.3%自報
MEGA UDPOS
60.4%自報
SQuALITY
24.1%自報
Long Context
RULER
87.1%自報
Qasper
40.0%自報
GovReport
26.4%自報
QMSum
19.9%自報
SummScreenFD
16.9%自報
Math
GSM8k
88.7%自報
MATH
59.5%自報
MGSM
58.7%自報
Reasoning
HellaSwagAI2 (2019)
83.8%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
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