// COMPARISON

HGRN2 1B

A head-to-head benchmark comparison of HGRN2 1B across 0 evaluations.

The models

Language Proprietary
Params
1B
Context
β€”
Released
Apr 2024

Hierarchically gated linear RNN (HGRN,Qin et al. 2023) has demonstrated competitive training speed and performance in language modeling, while offering efficien.

Full HGRN2 1B specs β†’

Benchmark comparison

No shared benchmark scores found for these models yet.

Frequently asked questions

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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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