Llama 3.1 Nemotron Instruct 70B
NVIDIALlamaOpen WeightLlama 3.1 Community License
Description
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.
Release Date
2024-10-15
Parameters
70.0B
Context Length
128K
Modalities
text
Capability Radar
25
general
17
coding
27
reasoning
33
science
24
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 576 | 11.0 | AA |
| General Ranking | 502 | 28.0 | AA |
| Science | 530 | 24.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Chat
MT-Bench
0.09 / 100SR
General
MMLU
80.2%SR
Instruct HumanEval
73.8%SR
TruthfulQA
58.6%SR
Language
MMLU Chat
80.6%SR
Math
GSM8k
91.4%SR
GSM8K Chat
81.9%SR
Reasoning
HellaSwagAI2 (2019)
85.6%SR
Winogrande
84.5%SR
ARC-C
69.2%SR
Summarization
XLSum English
31.6%SR
AA Evaluation Indices
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))73.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))69.0
Gpqa(NYU + Cohere + Anthropic (2023))46.5
Ifbench(Google Research (2023))30.7
Aime(MAA (Mathematical Association of America))24.7
Tau2(Sierra + U Toronto + Vector Institute (2025))23.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))16.9
Math Index(Artificial Analysis)11.0
Aime 25(MAA (Mathematical Association of America))11.0
Lcr(Artificial Analysis)8.3
Intelligence Index(Artificial Analysis)6.9
Terminalbench Hard(Stanford × Laude Institute (2026))4.5
Hle(Center for AI Safety + Scale AI (2025))4.2
LLM Stats Category Scores
(LLM Stats (zeroeval))Math90
Language80
Legal70
Reasoning70
Finance70
General70
Healthcare70
Chat10
Roleplay10
Communication10
Creativity10
Pricing
Input PriceFree
Output PriceFree
Blended Price (3:1)Free
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
No provider data available