OpenAI
GPT-OSS 20B
最先端
8.1Mダウンロード4.7KいいねAug 2025公開日128K トークンコンテキストApache 2.0ライセンス90 優秀品質
GPT-OSS 20B (21B parameters) requires approximately 17.1 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3.5999999046325684B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 20 GB of VRAM.
はじめに
— コピー&ペーストでローカル実行Copy-paste commands to run GPT-OSS 20B on your machine.
Run
ollama run gpt-ossQuick specs
Parameters21B (3.6B active)
Architecturemoe (MoE)
Context128K tokens
Modalitytext
Min RAM8.2 GB
Rec. RAM12.8 GB (Q4_K_M)
LicenseApache 2.0
FamilyGPT-OSS
✓ Chat✓ Reasoning
About this model
- •OpenAI's first open-weight model under Apache 2.0 license
- •MoE architecture: 24 layers, 32 experts, top-4 routing per token
- •Configurable reasoning effort: low, medium, and high modes
- •Fits in 16GB VRAM with MXFP4 quantization
関連モデル
おすすめ
最適なハードウェア
GPT-OSS 20Bのおすすめ
このモデルを実行
量子化オプション
量子化レベル別VRAM推定値
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 8.2 GB | Low | — |
Q3_K_S | 3 | 10.3 GB | Low | — |
NVFP4 | 4 | 11.8 GB | Medium | — |
Q4_K_M | 4 | 12.8 GB | Medium | — |
Q5_K_M | 5 | 15.1 GB | High | — |
Q6_K | 6 | 17.2 GB | High | — |
Q8_0 | 8 | 22.5 GB | Very High | — |
F16 | 16 | 43.1 GB | Maximum | — |
Quality benchmarks
GPT-OSS 20B benchmark scores
Coding
SWE-bench Verified60.7%
HumanEval+—
Aider Polyglot—
LiveCodeBench74.6%
Reasoning
MMLU-Pro—
GPQA Diamond71.5%
MATH-500—
ARC Challenge—
Source: official · 2025-08-15
ハードウェア互換性
全ハードウェアの適合度推定
Computing compatibility...
メモリ内訳
Reference: RTX 2060 6GB
Weights12.8 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB
よくある質問
FAQ — GPT-OSS 20B
関連項目