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Llama 3.3 Nemotron Super 49B v1 (Non-reasoning)

NVIDIALlamaOpen WeightLlama 3.1 Community License

Description

Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) derived from Meta Llama-3.3-70B-Instruct. It's post-trained for reasoning, chat, RAG, and tool calling, offering a balance between accuracy and efficiency (optimized for single H100). It underwent multi-phase post-training including SFT and RL (RLOO, RPO).

Date de sortie
2025-03-18
Paramètres
49.9B
Longueur du contexte
131K
Modalités
text

Radar de capacités

26
general
27
coding
25
reasoning
32
science
70
agents
0
multimodal

Classements

Domaine#RangScoreSource
Classement codage468
15.0
AA
Classement général372
35.0
AA
Science430
31.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)66.7%Aut.

Communication

MT-Bench0.92 / 100Aut.

Creativity

Arena Hard88.3%Aut.

General

MBPP0.91 / 100Aut.
BFCL v273.7%Aut.

Math

MATH-50096.6%Aut.
AIME 202558.4%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
8.3
Math Index(Artificial Analysis)
7.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Ifbench(Google Research (2023))
0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.2
Aime(MAA (Mathematical Association of America))
0.2
Lcr(Artificial Analysis)
0.1
Aime 25(MAA (Mathematical Association of America))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Roleplay
90
Communication
90
Creativity
90
Writing
90
Math
80
Reasoning
80
General
80
Physics
70
Biology
70
Chemistry
70
Tool Calling
70

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