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Phi-3.5-MoE-instruct

MicrosoftPhi开源权重MIT · 商用许可

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.

发布日期
2024-08-23
参数规模
60.0B
上下文长度
支持模态

能力雷达图

70
general
70
coding
70
reasoning
34
science估算
70
agents
0
multimodal

缺少专门科学评测时,Science 由 LLM Stats 科学得分或推理能力估算。

排行榜排名

暂无排名数据

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)36.8%自报

Code

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

Creativity

Social IQa78.0%自报
Arena Hard37.9%自报

Finance

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

General

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

Language

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

Long Context

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

Math

GSM8k88.7%自报
MATH59.5%自报
MGSM58.7%自报

Reasoning

HellaSwagAI2 (2019)83.8%自报

AA 评测指数

(Artificial Analysis)

暂无 AA 评测数据

LLM Stats 分类评分

(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

定价

暂无定价数据

速度

暂无速度数据

供应商价格排行

暂无提供商数据

外部链接