Can I Run GPT-OSS 20B on NVIDIA GeForce RTX 5060?
Written by Jakub Rusinowski · Last updated August 15, 2026
No. GPT-OSS 20B needs 12.3 GB at 8K context (11.1 GB weights + 1.2 GB KV cache/overhead) at MXFP4 and the NVIDIA GeForce RTX 5060 has only 8 GB. No quantization we publish closes a gap that size.
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The numbers
| Model | GPT-OSS 20B |
| Parameters | 20B |
| Quantization | MXFP4 |
| VRAM needed (8K context) | 12.3 GB |
| NVIDIA GeForce RTX 5060 VRAM | 8 GB |
| Verdict | Does not fit |
GPT-OSS 20B on the NVIDIA GeForce RTX 5060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 43 GB | ✗ No | — | — |
| Q8_0 | 23.4 GB | ✗ No | — | — |
| Q6_K | 18.3 GB | ✗ No | — | — |
| Q5_K_M | 16 GB | ✗ No | — | — |
| Q4_K_M | 13.8 GB | ✗ No | — | — |
| Q3_K_M | 10.1 GB | ✗ No | — | — |
| Q2_K | 8.1 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At MXFP4 on the NVIDIA GeForce RTX 5060: 8K 12.3 GB ✗ · 32K 13.5 GB ✗ · 128K 18.3 GB ✗. Past 8K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Either step down to a smaller size in this family, or move to a NVIDIA GeForce RTX 4090 Laptop GPU (16 GB), the card with the least memory we track that holds it.
No compatible GPU? GPT-OSS 20B on 16 GB of system RAM, CPU only: runs.
GPT-OSS 20B needs ~12 GB but this GPU has 8 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other GPT-OSS sizes on the NVIDIA GeForce RTX 5060
- GPT-OSS 120B — does not fit (71.9 GB)
GPT-OSS 20B on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — runs at a lower quant
All GPT-OSS sizes on the NVIDIA GeForce RTX 5060 | GPT-OSS 20B model page | NVIDIA GeForce RTX 5060 GPU page | VRAM calculator | Check your hardware