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No. gpt-oss 120B (MoE, MXFP4) does not fit on RTX 4090 24GB: MXFP4 needs 67.3 GB and 23.5 GB is usable.
Hardware: RTX 4090 24GB · Model: gpt-oss 120B (MoE, MXFP4)
RTX 4090 24GB has 24 GB of VRAM and 1008 GB/s of memory bandwidth. The checker holds back 0.5 GB of VRAM for the driver and assumes 16 GB of system RAM, so fast memory usable by Ollama is 23.5 GB. Partial offload may also use 60% of that system RAM. gpt-oss 120B (MoE, MXFP4) (117B, 5.1B active, OpenAI) at MXFP4 is a 65 GB download and needs 67.3 GB with headroom for about 8k tokens.
| Best quant | MXFP4 |
|---|---|
| Download size | 65 GB |
| Memory needed | 67.3 GB |
| Usable fast memory | 23.5 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run gpt-oss:120b |
Smallest hardware that runs it: M2 Max (38c GPU) 96GB at MXFP4 (fits in fast memory, 67.3 GB needed, 72.0 GB usable, about 56 tok/s (estimate)). Can a M2 Max (38c GPU) 96GB run gpt-oss 120B (MoE, MXFP4)?
A smaller OpenAI model that fits this hardware: gpt-oss 20B (MoE, MXFP4) at MXFP4 (fits in fast memory, 15.1 GB). Can a RTX 4090 24GB run gpt-oss 20B (MoE, MXFP4)?
Open RTX 4090 24GB in the checkerEstimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
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