// COMPARISON

LongNet

A head-to-head benchmark comparison of LongNet across 0 evaluations.

The models

Language Proprietary
Params
2.7B
Context
β€”
Released
Jul 2023

Scaling sequence length has become a critical demand in the era of large language models. However, existing methods struggle with either computational complexit.

Full LongNet specs β†’

Benchmark comparison

No shared benchmark scores found for these models yet.

Frequently asked questions

How many benchmarks are compared? β–Ά

This comparison covers 0 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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