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llama-3.3-nemotron-49b-super-v1 in fedi-index

The score in every slice, what it is made of, value, local run and history.

fedi-index · General

C 1,295 ±8

Percentile 35 · #191 · provisional

People prefer / Solves tasks

1,303 / —

Human votes vs benchmarks, Elo-eq

Value

—

On your hardware

Closed weights: cloud only.

Score decomposition

C General 1,295 [1,288–1,303] Percentile 35 · #191 · components: 5 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/overall 1,308 ±6.15 1,308 ±6 34.2% 2026-10-02 —
LMArena text/hard_prompts 1,311 ±12 1,315 ±11 26.1% 2026-10-02 —
LMArena text/instruction_following 1,294 ±9.91 1,312 ±9 14.4% 2026-10-02 —
LMArena text/longer_query 1,300 ±15 1,307 ±14 5.2% 2026-10-02 —
LMArena text/multi_turn 1,315 ±16 1,322 ±15 5.1% 2026-10-02 —

Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology

C Writing 1,300 [1,282–1,319] Percentile 38 · #168 · components: 2 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/creative_writing 1,288 ±14 1,314 ±14 60.0% 2026-10-02 —
LMArena text/longer_query 1,300 ±15 1,307 ±14 29.5% 2026-10-02 —

Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology

C Language: English 1,329 [1,314–1,344] Percentile 39 · #167 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/english 1,354 ±7.91 1,339 ±8 92.4% 2026-10-02 —

Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology

History

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Model 2026-10
llama-3.3-nemotron-49b-super-v1 1,295 C

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fedi-index: llama-3.3-nemotron-49b-super-v1

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