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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

RepoQA85.0%自報
HumanEvalOpenAI (2021)70.7%自報

Creativity

Social IQa78.0%自報
Arena Hard37.9%自報

Finance

MMLU78.9%自報
TruthfulQA77.5%自報
MMLU-Pro45.3%自報

General

ARC-C91.0%自報
OpenBookQA89.6%自報
PIQA88.6%自報
MBPP0.81 / 100自報
MMMLU69.9%自報

Language

BoolQ84.6%自報
MEGA XStoryCloze82.8%自報
Winogrande81.3%自報
BIG-Bench Hard79.1%自報
MEGA XCOPA76.6%自報
MEGA TyDi QA67.1%自報
MEGA MLQA65.3%自報
MEGA UDPOS60.4%自報
SQuALITY24.1%自報

Long Context

RULER87.1%自報
Qasper40.0%自報
GovReport26.4%自報
QMSum19.9%自報
SummScreenFD16.9%自報

Math

GSM8k88.7%自報
MATH59.5%自報
MGSM58.7%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))
Psychology
80
Language
70
Legal
70
Math
70
Reasoning
70
Finance
70
General
70
Healthcare
70
Code
70
Long Context
60
Physics
60
Creativity
60
Biology
40
Chemistry
40
Writing
40
Summarization
20

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

外部連結