Llama 3.2 Instruct 3B
MetaLlama開源權重Llama 3.2 Community License
描述
Llama 3.2 3B Instruct is a large language model that supports a context length of 128K tokens and are state-of-the-art in their class for on-device use cases like summarization, instruction following, and rewriting tasks running locally at the edge.
發布日期
2024-09-25
參數規模
3.2B
上下文長度
131K
支援模態
text
能力雷達圖
14
general
8
coding
13
reasoning
19
science
50
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
77.4%自報
General
BFCL v2
67.0%自報
MMLU
63.4%自報
Nexus
34.3%自報
Language
Open-rewrite
40.1%自報
Long Context
NIH/Multi-needle
84.7%自報
InfiniteBench/En.MC
63.3%自報
InfiniteBench/En.QA
19.8%自報
Math
GSM8k
77.7%自報
MGSM
58.2%自報
MATH
48.0%自報
Reasoning
ARC-C
78.6%自報
HellaSwagAI2 (2019)
69.8%自報
GPQANYU + Cohere + Anthropic (2023)
32.8%自報
Summarization
TLDR9+ (test)
19.0%自報
AA 評測指數
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))48.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))34.7
Ifbench(Google Research (2023))26.2
Gpqa(NYU + Cohere + Anthropic (2023))25.5
Tau2(Sierra + U Toronto + Vector Institute (2025))21.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))8.3
Aime(MAA (Mathematical Association of America))6.7
Intelligence Index(Artificial Analysis)5.7
Hle(Center for AI Safety + Scale AI (2025))5.3
Lcr(Artificial Analysis)4.3
Aime 25(MAA (Mathematical Association of America))3.3
Math Index(Artificial Analysis)3.3
LLM Stats 分類評分
(LLM Stats (zeroeval))Chat80
Instruction Following80
Structured Output80
Language60
Legal60
Math60
Reasoning60
Finance60
General60
Healthcare60
Tool Calling50
Physics30
Biology30
Chemistry30
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
4 個供應商
最便宜: NovitaAI最貴: Kilo Gateway
供應商輸入輸出
1NovitaAI最便宜
$0.03
$0.05
2NanoGPT
$0.0306
$0.0493
3OpenRouter
$0.05
$0.33
4Kilo Gateway
$0.05
$0.33
比較該模型在不同 API 供應商之間的定價。