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Andyyyy64/whichllm — GitHub trending stats & insights | Trendshift
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Andyyyy64/whichllm
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Local LLM
Find the local LLM that actually runs — and performs best — on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
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Data last synced with GitHub 1 day ago
Python
65
2
6 contributors
last commit 1 day ago
last user commit 1 day ago
MIT License
created 2 months ago
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whichllm — Find local LLMs for your hardware. Detects GPU/CPU/RAM 🖥️ Ranks models by fit 📊 Uses HuggingFace data 🔄 Outputs CLI/JSON/Python 🧩
@reporadarhq · x.com · about 6 hours ago
Oh, this is such a nifty little tool. If you're looking to find out what LLMs you can run locally, use this. whichllm
@cyphorous · x.com · about 7 hours ago
ハードウェアの情報をみて、最適なローカル LLM を教えてくれる whichllmっていう OSS よさそう。 Codexとか Claude Code に投げるまでもない処理って意外とあるんですよね。 CS ログのカテゴライズとか gemma で十分でしたし。 単発で軽量で、並行してやりたい処理はローカル LLMとの相性いいので、適切な作業を寄せていきたいですね。
@KKohey4 · x.com · about 15 hours ago
whichllm ranks local LLMs by actual benchmark scores, not just model size. Auto-detects your GPU/CPU/RAM and pulls live HuggingFace data to tell you what runs best on your hardware—then downloads and…
@38twelveDaily · x.com · 1 day ago
Show HN: Find the best local LLM for your hardware, ranked by benchmarks (
@betterhn50 · x.com · 1 day ago
Just ran the `whichllm` CLI and the VRAM math is so good. It calculates exact limits for your GPU down to the GQA KV cache overhead and MoE active params. It literally refuses to hand you the biggest…
@sakurayukiai · x.com · 1 day ago
Picking a local model by VRAM fit alone is how you waste weekends, so I like whichllm ranking models by real benchmarks and speed for your actual hardware
@LLMpsycho · x.com · 1 day ago
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