Passer au contenu principal
AITier

Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)

NVIDIALlamaOpen WeightLlama 3.1 Community License

Description

Llama-3.1-Nemotron-Nano-8B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.1-8B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling.

Date de sortie
2025-05-20
Paramètres
8.0B
Longueur du contexte
131K
Modalités
text

Radar de capacités

22
general
41
coding
61
reasoning
23
science
60
agents
0
multimodal

Classements

Domaine#RangScoreSource
Classement codage374
27.0
AA
Classement général489
23.0
AA
Science507
20.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)54.1%Aut.

Communication

MT-Bench0.81 / 100Aut.

General

MBPP0.85 / 100Aut.
IFEvalGoogle Research (2023)79.3%Aut.
BFCL v263.6%Aut.

Math

MATH-50095.4%Aut.
AIME 202547.1%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Math Index(Artificial Analysis)
50.0
Intelligence Index(Artificial Analysis)
8.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.9
Aime(MAA (Mathematical Association of America))
0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.6
Aime 25(MAA (Mathematical Association of America))
0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.5
Gpqa(NYU + Cohere + Anthropic (2023))
0.4
Ifbench(Google Research (2023))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.1
Scicode(UIUC + Argonne National Lab (2024))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Lcr(Artificial Analysis)
0.0

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Roleplay
80
Structured Output
80
Instruction Following
80
Communication
80
Creativity
80
Math
70
Reasoning
70
General
70
Tool Calling
60
Physics
50
Biology
50
Chemistry
50

Tarification

Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Aucune donnée de fournisseur disponible

Sources externes

LLM StatsArtificial Analysis