Does It Run Local?

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MODEL COMPARISON

Qwen3-VL-8B-Instruct vs Llama-3.1-8B-Instruct

Qwen3-VL-8B-Instruct and Llama-3.1-8B-Instruct need about the same memory (within 1 GB): about 8 GB (text weights only) and about 8 GB. Qwen3-VL-8B-Instruct has one runtime in release (Ollama). Llama-3.1-8B-Instruct has one runtime in release (Ollama).

SIDE BY SIDE

CompareQwen3-VL-8B-InstructLlama-3.1-8B-Instruct
Memory neededabout 8 GB · Up to 8 GB (laptop) (text weights only)about 8 GB · Up to 8 GB (laptop)
Recommended quantQ4_K_M · 5.0 GBQ4_K_M · 4.9 GB
llama.cpp supportArchitecture listedChecked 24 Oct 2026Architecture listedChecked 24 Oct 2026
Ollama supportReleasedChecked 24 Oct 2026ReleasedChecked 24 Oct 2026
LM Studio supportUpload availableChecked 24 Oct 2026Upload availableChecked 24 Oct 2026
MLX / mlx-lm supportArchitecture listedChecked 24 Oct 2026Upload availableChecked 24 Oct 2026
vLLM supportArchitecture listedChecked 24 Oct 2026Architecture listedChecked 24 Oct 2026
ReleasedOct 11, 2025Jul 18, 2024
LicenseNot recorded in this snapshot — see the model card ↗Not recorded in this snapshot — see the model card ↗
PublisherQwenmeta-llama
Downloads5.2M4.9M
Model pageOpen Qwen3-VL-8B-Instruct ↗Open Llama-3.1-8B-Instruct ↗
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 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

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.