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MODEL COMPARISON

Llama-3.1-8B-Instruct vs Ternary-Bonsai-2-27B-gguf

Llama-3.1-8B-Instruct needs less memory: about 8 GB versus about 11 GB for Ternary-Bonsai-2-27B-gguf, a difference of 3 GB. Llama-3.1-8B-Instruct has one runtime in release (Ollama). Ternary-Bonsai-2-27B-gguf has no runtime listed as in release.

SIDE BY SIDE

CompareLlama-3.1-8B-InstructTernary-Bonsai-2-27B-gguf
Memory neededabout 8 GB · Up to 8 GB (laptop)about 11 GB · Up to 16 GB
Recommended quantQ4_K_M · 4.9 GBPQ2_0 · 7.2 GB
llama.cpp supportArchitecture listedChecked 26 Oct 2026UnknownChecked 27 Oct 2026
Ollama supportReleasedChecked 26 Oct 2026UnknownVersion v0.40.11 · Checked 26 Oct 2026
LM Studio supportUpload availableChecked 26 Oct 2026UnknownChecked 27 Oct 2026
MLX / mlx-lm supportUpload availableChecked 26 Oct 2026UnknownChecked 27 Oct 2026
vLLM supportArchitecture listedChecked 26 Oct 2026UnknownChecked 27 Oct 2026
ReleasedJul 18, 2024Sep 16, 2026
LicenseNot recorded in this snapshot — see the model card ↗Not recorded in this snapshot — see the model card ↗
Publishermeta-llamaprism-ml
Downloads4.8M2.2M
Model pageOpen Llama-3.1-8B-Instruct ↗Open Ternary-Bonsai-2-27B-gguf ↗
Fits these setups
  • Mac 16 GBRuns well
  • Mac 24 GBRuns well
  • Mac 32 GBRuns well
  • Mac 64 GBRuns well
  • GPU 8 GB + 32 GB RAMRuns well
  • GPU 12 GB + 32 GB RAMRuns well
  • GPU 16 GB + 32 GB RAMRuns well
  • GPU 24 GB + 64 GB RAMRuns well
  • CPU 32 GBRuns well
  • CPU 64 GBRuns well
  • Mac 16 GBRuns well
  • Mac 24 GBRuns well
  • Mac 32 GBRuns well
  • Mac 64 GBRuns well
  • GPU 8 GB + 32 GB RAMTight
  • GPU 12 GB + 32 GB RAMRuns well
  • GPU 16 GB + 32 GB RAMRuns well
  • GPU 24 GB + 64 GB RAMRuns well
  • CPU 32 GBRuns well
  • CPU 64 GBRuns well

Memory needed is the same estimate shown on each model page: the recommended observed file plus 20% headroom and a 1.5 GB runtime allowance. See which setups fit →

These are estimates from observed file sizes, not benchmarks. They don’t account for long contexts or the KV cache, and fitting does not establish runtime compatibility or speed.