Ruang untuk AI lokal
Gratis untuk dilihat, Pro untuk mengubah
Periksa apakah model lokal akan muat di memori Mac Anda sebelum mengunduh atau memuatnya.
The problem
Downloading a local model is a long wait, and the failure comes at the end: it will not load, or it loads and your Mac starts swapping. The size on the download page is only part of the answer, because the context length you choose adds memory too.
Local AI headroom answers the question first. You pick the model size and context. Hedroom estimates what it needs, compares that with what your Mac can give a model right now, and names the line that decided the answer.
How it works
- Pick. Choose a model family and size, 4-, 8- or 16-bit, and a context from 4K to 128K. Hedroom names families and sizes only; it recommends no product.
- Estimate. It adds up the weights, the context cache (which grows with the context) and runtime overhead, each shown as "about". A 15% margin covers the fact that layer and head counts are typical for a family, not read from your file.
- Compare. The total is checked against the GPU memory limit and against what is free right now (free memory plus cached files; compressed memory does not count).
- Answer. Fits, Tight, Make room or Won't fit, with the line that decided it.
- Act, if you choose. Make room lists apps to relaunch or quit through the normal safety checks. On some Macs, Hedroom can raise the GPU limit until you restart, after a confirmation.
What you will see
A big verdict, "Fits.", "Tight.", "Fits, after making room." or "Won't fit.", with a sentence naming the line that decided it and the parts of the estimate: "Weights about … · context about … · runtime about … The estimate can be off by about 15%." A gauge shows what the model needs against two markers: what the GPU can use and what is free right now.
Beside it sits the GPU memory limit control, with a warning always on screen (less memory for macOS, your Mac can slow down or become unstable, it lasts until you restart), and a list of model apps Hedroom finds running: Ollama, LM Studio, Jan and GPT4All, with what they use. On a 16 GB Mac the limit control is off and says why.
A worked example
Example, not real data
A mid-size model on a 16 GB Mac
Say you want to try a Llama-family model at 8B parameters, 4-bit, with an 8K context. Hedroom estimates weights of about 4.8 GB, context of about 1.1 GB and runtime of about 0.8 GB: about 6.7 GB, or about 7.7 GB with the margin.
macOS lets the GPU use about two-thirds of a 16 GB Mac's memory by default, around 10.7 GB, so the GPU limit is not the problem. But say Chrome and Slack are open and free memory plus cached files reads about 7 GB. The low estimate fits and the high one does not, so the verdict is Tight, and the Make room list shows which apps hold the most. Hedroom promises no speed: it estimates memory only.
Details and limits
Apa yang dilakukannya
- Anda memilih keluarga dan ukuran model, 4, 8, atau 16-bit, dan panjang konteks dari 4K sampai 128K.
- Memperkirakan apa yang dibutuhkan (bobot, cache konteks, dan runtime), lalu membandingkannya dengan apa yang bisa digunakan GPU dan apa yang kosong saat ini.
- Menjawab Muat, Mepet, Kosongkan ruang, atau Tidak muat, dengan baris yang menentukannya.
- Kosongkan ruang menyarankan membuka ulang atau menutup app yang menahan memori, melalui tindakan Hedroom yang biasa.
- Mengenali Ollama, LM Studio, Jan, dan GPT4All saat berjalan, dan menyatakan apa yang mereka gunakan.
- Bisa menaikkan batas memori GPU sampai Anda memulai ulang, setelah konfirmasi yang menyatakan betapa sedikit yang tersisa untuk macOS.
What it will not do
- Mengunduh, memuat, atau menjalankan model, atau berbicara dengan app model.
- Menjanjikan kecepatan. Ia hanya memperkirakan memori.
- Menawarkan batas yang menyisakan kurang dari 8 GB untuk macOS.
- Menaikkan batas tanpa konfirmasi Anda. Saat Hedroom keluar, ia mengembalikan batas ke nilai sebelumnya, kecuali Anda sendiri yang mengubahnya.
Limits
- Perkiraan bisa meleset sekitar 15%. Angka layer dan head adalah tipikal untuk satu keluarga model, tidak dibaca dari file Anda.
- macOS tidak mempublikasikan batas GPU default-nya. Hedroom menampilkan interpretasinya sendiri: sekitar dua pertiga memori hingga 36 GB, tiga perempat di atasnya.
- Pada Mac dengan 8, 16, 18, atau 24 GB, Hedroom tidak menawarkan batas yang lebih tinggi, karena batas tertinggi yang diizinkannya tidak lebih dari yang sudah diberikan macOS ke GPU.
- Menaikkan batas memerlukan helper yang sama dengan kontrol kipas, yang membutuhkan persetujuan di Pengaturan Sistem. Batas yang lebih tinggi menyisakan lebih sedikit untuk macOS, dan Mac Anda bisa melambat atau menjadi tidak stabil jika memori kurang. Berlaku sampai Anda memulai ulang.
Gratis atau Pro
Pemeriksaan dan pembacaan batas memori GPU gratis. Menaikkan batas adalah bagian dari Pro. Meresetnya tidak pernah dikunci.
Raising the limit changes how your Mac behaves, which is why it is Pro.
Questions people ask
Does Hedroom download or run the model?
No. It never downloads, loads or runs a model, and never talks to a model app. It estimates memory and notices which model apps are running.
How accurate is the estimate?
It can be off by about 15%. The weights come from a simple formula, and layer and head counts are typical for the family, not read from your file. The verdict checks both the estimate and the estimate plus margin, so a borderline case reads Tight rather than Fits.
Is raising the GPU memory limit safe?
It leaves less memory for macOS, and your Mac can slow down or become unstable if memory runs short. Hedroom never offers a limit that leaves macOS less than 8 GB, shows how little is left before you confirm, puts the limit back when it quits, and the setting goes away at restart anyway.
Does it need the helper?
Checking is free and needs no helper. Raising or resetting the limit uses the same helper as fan control, which requires approval in System Settings. Approving the helper has the steps.