Files
local_ai/models.tsv
T
2026-09-30 07:55:26 +02:00

13 lines
964 B
Plaintext

# ollama_tag disk_gb mem_gb cpu_ok rank description
# disk_gb: download / image size. mem_gb: RAM (or VRAM) needed incl. context cache.
# cpu_ok: yes = usable speed without a GPU (small dense or MoE with few active params).
# rank: higher = better quality for coding; the recommender picks the highest rank that fits.
qwen2.5-coder:1.5b 1.0 2.0 yes 10 Tiny; very fast, weak edits. For very small machines.
qwen2.5-coder:3b 1.9 3.0 yes 20 Small and fast; OK for simple edits.
qwen2.5-coder:7b 4.7 6.5 yes 30 Best all-round choice for laptops / CPU-only.
deepseek-coder-v2:16b 8.9 11.5 yes 35 MoE (2.4B active): fast on CPU, needs ~12 GB RAM.
qwen2.5-coder:14b 9.0 11.5 no 40 Noticeably smarter than 7B; wants a GPU (~12 GB VRAM).
gpt-oss:20b 14 17 yes 50 MoE reasoning model; needs ~17 GB RAM or VRAM.
qwen3-coder:30b 19 23 yes 60 MoE (3B active): strong coder, fast on CPU with 24+ GB RAM.
qwen2.5-coder:32b 20 24 no 70 Top-quality dense coder; needs a 24 GB GPU.