跳轉到主要內容

Granite 4.0 Micro

IBM開源權重Apache 2.0 · 商用許可

描述

A preliminary version of the smallest model in the upcoming Granite 4.0 family, released May 2025. It utilizes a novel hybrid Mamba-2/Transformer, fine-grained mixture of experts (MoE) architecture (7B total parameters, 1B active at inference). This preview version is partially trained (2.5T tokens) but demonstrates significant memory efficiency and performance potential, validated for at least 128K context length without positional encoding.

發布日期
2025-09-22
參數規模
7.0B
上下文長度
131K
支援模態
text

能力雷達圖

17
general
18
coding
11
reasoning
25
science
13
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜586
10.0
AA
通用能力榜606
17.0
AA
科學能力589
17.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)63.0%自報

General

MMLU60.4%自報
TruthfulQA58.1%自報
AlpacaEval 2.035.2%自報
Arena Hard26.7%自報
PopQA22.9%自報

Math

GSM8k70.1%自報

Reasoning

HumanEvalOpenAI (2021)82.4%自報
HumanEval+78.3%自報
BIG-Bench Hard55.7%自報
DROP46.2%自報

Safety

AttaQ86.1%自報

AA 評測指數

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
44.7
Gpqa(NYU + Cohere + Anthropic (2023))
33.6
Ifbench(Google Research (2023))
24.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
18.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
12.6
Lcr(Artificial Analysis)
7.0
Math Index(Artificial Analysis)
6.0
Aime 25(MAA (Mathematical Association of America))
6.0
Intelligence Index(Artificial Analysis)
5.1
Hle(Center for AI Safety + Scale AI (2025))
5.0
Terminalbench Hard(Stanford × Laude Institute (2026))
1.5

LLM Stats 分類評分

(LLM Stats (zeroeval))
Safety
90
Code
80
Instruction Following
60
Language
60
Legal
60
Math
60
Structured Output
60
Finance
60
General
60
Healthcare
60
Reasoning
50
Chat
40
Creativity
30
Writing
30

定價

輸入價格免費
輸出價格免費
混合價格(3:1)免費

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

供應商價格排行

2 個供應商

最便宜: OpenRouter最貴: Kilo Gateway
供應商輸入輸出
1OpenRouter最便宜
$0.017
$0.112
2Kilo Gateway
$0.017
$0.112

比較該模型在不同 API 供應商之間的定價。

外部連結