gpt-oss-120b VRAM & Memory Requirements

Specific checkpoints with sourced architecture and weight files. MXFP4 safetensors: 61.68 GiB–63.56 GiB at 8,192 tokens, 1 sequence, FP16 KV, vllm.

This result is an estimate, not a measured trace.Not verifiedFile-backed weights

Publisher and provenance

Active parameters describe tokens' routed compute, not the full resident model weight footprint. Full-resident weight estimates use total parameters.

Memory layers in this estimate

Artifact bytes, raw KV, engine extras, and total demand are separate. This is not a runtime trace.

Weight artifact
60.77 GiB (65,248,815,744 bytes)
Raw KV cache
0.29 GiB (306,708,480 bytes)
Engine extras / workspace
0.63 GiB–2.51 GiB
Total estimated demand
61.68 GiB–63.56 GiB

Published artifacts

QuantizationSelected filesBytesEngineEvidence
MXFP4 safetensors
mxfp4
15 safetensors shards
Total selected bytes: 65,248,815,744 (60.77 GiB / 65.25 GB)
First shard: model-00000-of-00014.safetensors
Last shard: model-00014-of-00014.safetensors
View all 15 shard files
  • model-00000-of-00014.safetensors
  • model-00001-of-00014.safetensors
  • model-00002-of-00014.safetensors
  • model-00003-of-00014.safetensors
  • model-00004-of-00014.safetensors
  • model-00005-of-00014.safetensors
  • model-00006-of-00014.safetensors
  • model-00007-of-00014.safetensors
  • model-00008-of-00014.safetensors
  • model-00009-of-00014.safetensors
  • model-00010-of-00014.safetensors
  • model-00011-of-00014.safetensors
  • model-00012-of-00014.safetensors
  • model-00013-of-00014.safetensors
  • model-00014-of-00014.safetensors
65,248,815,744 (60.77 GiB / 65.25 GB)vllm, unspecifiedfile-metadata
INT4 theoreticalNo published file58,414,578,336 (theoretical)—theoretical

Memory by quantization and context

Concurrent sequences = 1. KV defaults to FP16. The range includes documented runtime extras for the listed engine. These figures use the same core as the interactive calculator.

Quantization2,048 tokens8,192 tokens32,768 tokens
MXFP4 safetensors61.47 GiB–63.34 GiB61.68 GiB–63.56 GiB62.52 GiB–64.43 GiB
INT4 theoretical
Theoretical rows are not downloadable artifacts.
54.60 GiB–70.73 GiB54.81 GiB–71.00 GiB55.66 GiB–72.04 GiB

Raw KV contribution

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Related pages

Sources

Assumptions that affect this result

Calculator

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Quantization

Device type

Workload

Context length primarily affects KV cache memory.

Advanced settings
Runtime

Engine and KV cache type for this estimate.

Workload

Overhead scenario and the prefill workspace.

Topology

How the model is split across devices. Memory is not added together.

Replica count is an advanced deployment option. Quantity is nodes or GPUs, not replicas.

Budget

System reserve and safety margin. An empty number keeps the previous value.

GiB (2^30 bytes)

%

Custom model

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Only huggingface.co, config.json, no token. Private repos are rejected.

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