Free GPU compatibility checker for local LLMs. Find which models (Llama 4, Gemma 4, DeepSeek V4, Qwen 3.5) your GPU can run. Calculate VRAM usage, compare cloud vs local costs, browse 75+ models, and get setup guides for Ollama, LM Studio, and phones.
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Maker
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Few months ago I was trying to run local LLM on my m1 macbook and it was a bit painfull to find exact model that can run on it and how to do it properly.
Informations were across reddit, forums etc so I created https://llmconfigurator.com/ to make it all in one. You just putting your hardware or one click analyser and it showing you models that can run. I am keeping model list curated.
Since then it grew up a bit, I am constantly adding guides, tutorials, blog posts. I hope someone find it useful and this is my small addition to LocalLLM community
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Would love to see a feature that lets me save my GPU setup and get notified when new models I can actually run get added, since the model list keeps growing faster than I can check it manually.
honestly really useful tool, saved me a lot of guessing with my 4070. one thing that would be clutch is adding an estimate of inference speed like tokens per second for different quant levels so you know if a model will actually run decently or just technically load
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Maker
@kuzeyozbas33462 HI! thanks for checking, yes this is in a pipeline for future updates already :)
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love how straightforward the VRAM calculator is, super useful before pulling the trigger on a new model. one thing that would be clutch is letting users save their GPU setup and get alerts when new models drop that finally fit their hardware, would save a ton of time checking back manually
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Maker
@adnancwzc Hi! thanks for checking! that notification is solid idea, I will add it
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finally something that tells me straight up whether my 4070 can handle deepseek v4 instead of guessing. the cloud vs local cost comparison was honestly the part that sold me
Would love to see a feature that lets me save my GPU setup and get notified when new models I can actually run get added, since the model list keeps growing faster than I can check it manually.
@zeliha229593239 Thank for checking! great idea, will add it
honestly really useful tool, saved me a lot of guessing with my 4070. one thing that would be clutch is adding an estimate of inference speed like tokens per second for different quant levels so you know if a model will actually run decently or just technically load
@kuzeyozbas33462 HI! thanks for checking, yes this is in a pipeline for future updates already :)
love how straightforward the VRAM calculator is, super useful before pulling the trigger on a new model. one thing that would be clutch is letting users save their GPU setup and get alerts when new models drop that finally fit their hardware, would save a ton of time checking back manually
@adnancwzc Hi! thanks for checking! that notification is solid idea, I will add it
finally something that tells me straight up whether my 4070 can handle deepseek v4 instead of guessing. the cloud vs local cost comparison was honestly the part that sold me
@taner6mcz thanks for checking!