Llama 3.1 Instruct 405B
MetaLlama開源權重Llama 3.1 Community License
描述
Llama 3.1 405B Instruct is a large language model optimized for multilingual dialogue use cases. It outperforms many available open source and closed chat models on common industry benchmarks. The model supports 8 languages and has a 128K token context length.
發布日期
2024-07-23
參數規模
405.0B
上下文長度
—
支援模態
text
能力雷達圖
27
general
31
coding
23
reasoning
37
science
70
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
88.6%自報
General
BFCL
88.5%自報
MMLU
87.3%自報
Multipl-E MBPP
65.7%自報
Nexus
58.7%自報
Language
MMLU (CoT)
88.6%自報
Multipl-E HumanEval
75.2%自報
MMLU-Pro
73.3%自報
Math
GSM8k
96.8%自報
Multilingual MGSM (CoT)
91.6%自報
MATH
73.8%自報
Reasoning
ARC-C
96.9%自報
API-Bank
92.0%自報
HumanEvalOpenAI (2021)
89.0%自報
MBPP EvalPlus
88.6%自報
DROP
84.8%自報
GPQANYU + Cohere + Anthropic (2023)
50.7%自報
Gorilla Benchmark API Bench
35.3%自報
AA 評測指數
(Artificial Analysis)Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))73.2
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))70.3
Gpqa(NYU + Cohere + Anthropic (2023))51.5
Ifbench(Google Research (2023))39.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))30.5
Lcr(Artificial Analysis)25.3
Aime(MAA (Mathematical Association of America))21.3
Tau2(Sierra + U Toronto + Vector Institute (2025))19.0
Intelligence Index(Artificial Analysis)7.3
Terminalbench Hard(Stanford × Laude Institute (2026))6.8
Hle(Center for AI Safety + Scale AI (2025))4.0
Math Index(Artificial Analysis)3.0
Aime 25(MAA (Mathematical Association of America))3.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Chat90
Instruction Following90
Math90
Structured Output90
Language80
Legal80
Reasoning80
Finance80
General80
Healthcare80
Tool Calling70
Code60
Physics50
Biology50
Chemistry50
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
暫無提供商資料