Saltar al contenido principal
AITier

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

NVIDIALlamaOpen WeightLlama 3.1 Community License

Descripción

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.

Fecha de lanzamiento
2025-05-20
Parámetros
8.0B
Longitud del contexto
131K
Modalidades
text

Radar de capacidades

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

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación366
27.0
AA
Ranking general481
23.0
AA
Ciencia498
20.0
AA

Puntuaciones 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.

Índices de evaluación 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

Puntuaciones por categoría LLM Stats

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

Precios

Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

No hay datos de proveedores disponibles

Fuentes externas

LLM StatsArtificial Analysis