Models › GLM-OCR

GLM-OCR: VRAM needs and speed by GPU

No measured runs yet. Speeds below are estimates. Submit a run.

0.89B parameters · 131,072-token context · GGUF published Feb 17, 2026 · GGUF files on Hugging Face

Memory needed per quantization

QuantFile sizeNeeds (estimate)Smallest card it fits
Q8_01.0 GB1.8 GB8 GB cards
F161.8 GB2.6 GB8 GB cards

Expected speed on popular hardware

HardwareBest quant that fitsExpected tok/s
NVIDIA RTX 3060Q8_0257 estimate
NVIDIA RTX 4060 TiQ8_0204 estimate
NVIDIA RTX 3090Q8_0547 estimate
NVIDIA RTX 4090Q8_0606 estimate
NVIDIA RTX 5090Q8_0957 estimate
AMD Radeon RX 7900 XTXQ8_0608 estimate
Apple M4 Pro (20-core GPU) (64 GB)Q8_0193 estimate
Apple M3 Max (40-core GPU) (64 GB)Q8_0282 estimate
AMD Ryzen AI Max+ 395 (Radeon 8060S)Q8_0173 estimate

Check your own card

Too big for your card?

Run GLM-OCR on a rented 24-80 GB GPU by the hour.

Rent a bigger GPU on RunPod

Affiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.