Skip to content

Instantly share code, notes, and snippets.

@encredible

encredible/benchmark_report.md

Created August 16, 2026 02:37
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save encredible/5e04d928afd77f41088edb5fb91279e5 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save encredible/5e04d928afd77f41088edb5fb91279e5 to your computer and use it in GitHub Desktop.
Download ZIP
Gaiel MLX Benchmark Results (1.5B, 7B, 32B on Cluster)
Raw
benchmark_report.md

Gaiel MLX Benchmark Results (Cluster: Mac mini + MacBook Air + MacBook Pro)

encredible/Gaiel-1.5B-Korean-Tuned-MLX

encredible/Gaiel-7B-Korean-Tuned-MLX

encredible/Gaiel-32B-Korean-Tuned-MLX

encredible/Gaiel-72B-Korean-Tuned-MLX

Status: Model exceeds currently available cluster RAM limit for unquantized inference (Requires additional unified memory or 4-bit quantization).

encredible/Gaiel-110B-Korean-Tuned-MLX

Status: Model exceeds currently available cluster RAM limit for unquantized inference (Requires additional unified memory or 4-bit quantization).

encredible/Gaiel-110B-Coding-Tuned-MLX

Status: Model exceeds currently available cluster RAM limit for unquantized inference (Requires additional unified memory or 4-bit quantization).

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment