Release v5.16.1
# Release v5.16.1 This is a special release as we include GLM! (and a few small fixes) # GLM-5.3-Flash GLM-5.3-Flash, the first **natively multimodal model** in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. GLM-5.3-Flash starts from a newly trained base model, with its architecture and training recipe redesigned around capability and efficiency. For the first time in the GLM series, we introduce a hybrid architecture combining sparse and linear attention, s
来自 Transformers 发布记录 的官方公开更新；本站仅提供短摘要与原始出处链接。
Release v5.16.1
# Release v5.16.1 This is a special release as we include GLM! (and a few small fixes) # GLM-5.3-Flash GLM-5.3-Flash, the first **natively multimodal model** in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. GLM-5.3-Flash starts from a newly trained base model, with its architecture and training recipe redesigned around capability and efficiency. For the first time in the GLM series, we introduce a hybrid architecture combining sparse and linear attention, s
来自 Transformers 发布记录 的官方公开更新；本站仅提供短摘要与原始出处链接。
自动收录自 Transformers 发布记录 的公开订阅信息；请以原始出处为准。
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