OpenAI
GPT-OSS 20B
前沿
8.1M下载量4.7K点赞Aug 2025发布日期128K tokens上下文Apache 2.0许可证90 优秀质量
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.
快速开始
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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
相关模型
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最佳硬件
GPT-OSS 20B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
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
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights12.8 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — GPT-OSS 20B
另请参阅