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Specifications
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality.
7B/13B/33B/65B253B
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.
2k128k
These models have no shared benchmark scores.
Overview
CompanyMetaNVIDIA
Release dateFeb 24 2023Apr 8 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

LLaMA 1 and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 1 shipped 774 days before Llama Nemotron Ultra 253B, so benchmark comparisons should account for the intervening progress.

LLaMA 1 has 7B/13B/33B/65B parameters, while Llama Nemotron Ultra 253B has 253B. Context windows are 2k (LLaMA 1) vs 128k (Llama Nemotron Ultra 253B).

Direct benchmark comparisons are unavailable — LLaMA 1 and Llama Nemotron Ultra 253B don't publish scores on any of the same benchmarks.