Llama 3.1 Nemotron Instruct 70B
NVIDIALlama開源權重Llama 3.1 Community License
描述
A large language model customized by NVIDIA to improve the helpfulness of LLM generated responses. It is a fine-tuned version of Llama 3.1 70B Instruct. The model was trained using RLHF (REINFORCE) with HelpSteer2-Preference prompts.
發布日期
2024-10-15
參數規模
70.0B
上下文長度
128K
支援模態
text
能力雷達圖
25
general
18
coding
27
reasoning
30
science
24
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Communication
MT-Bench
0.09 / 100自報
Finance
MMLU Chat
80.6%自報
MMLU
80.2%自報
TruthfulQA
58.6%自報
General
Instruct HumanEval
73.8%自報
ARC-C
69.2%自報
Language
Winogrande
84.5%自報
XLSum English
31.6%自報
Math
GSM8k
91.4%自報
GSM8K Chat
81.9%自報
Reasoning
HellaSwagAI2 (2019)
85.6%自報
AA 評測指數
(Artificial Analysis)Math Index(Artificial Analysis)11.0
Intelligence Index(Artificial Analysis)7.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Ifbench(Google Research (2023))0.3
Aime(MAA (Mathematical Association of America))0.2
Scicode(UIUC + Argonne National Lab (2024))0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))0.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.2
Aime 25(MAA (Mathematical Association of America))0.1
Lcr(Artificial Analysis)0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Hle(Center for AI Safety + Scale AI (2025))0.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Math90
Language80
Legal70
Reasoning70
Finance70
General70
Healthcare70
Roleplay10
Communication10
Creativity10
定價
輸入價格$1.2 / 1M tokens
輸出價格$1.2 / 1M tokens
混合價格(3:1)$1.2 / 1M tokens
速度
Tokens/秒82.3
首Token延遲5.52s
首回答延遲5.52s
供應商價格排行
供應商價格排行
1 個供應商
供應商輸入輸出
1NVIDIA主要
$1.2
$1.2
比較該模型在不同 API 供應商之間的定價。