- available as 120b (gpt-oss-120b) and 20b (gpt-oss-20b) variants
- 提供 120b (gpt-oss-120b) 和 20b (gpt-oss-20b) 两种变体
120-billion-parameter GPT-OSS model configuration highlights
1200 亿参数 GPT-OSS 模型配置亮点
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use of Grouped-Query Attention (GQA) to balance efficiency and quality for cost-effective inference
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采用分组查询注意力 (GQA) 以平衡效率和质量,实现经济高效的推理
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36 layers and a 4096-token context length, reflecting advanced transformer architecture
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36 层和 4096 令牌上下文长度,体现了先进的 Transformer 架构
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fp4 pretrain
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fp4 预训练
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mixed native datatypes
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混合原生数据类型
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resistance to fine-tuning possibly to limit customization and maintain control
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对微调的抵抗,可能是为了限制定制和保持控制



