AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
翻譯準備中
開發工具Python · ShellGitHub @NVIDIA-NeMo自行安裝營運者未確認
試用過了嗎? 點一下就好,不需要登入。
正在載入完整 README。 以下為已儲存的摘錄。
📣 News and Discussions • [09/11/2026]DeepSeek-V4.1-Flash We now support SFT and LoRA for DeepSeek's causal encoder/decoder backbone with CSA2, single-pass mHC, and Engram, many thanks to @Khazic. Check out the HellaSwag EP64 16-node recipe and model coverage page. • [08/29/2026]GLM-5.3 We now support full-parameter fine-tuning of Z.ai's GLM-5.3 with cuDNN DSA and HybridEP. Check out the EP64/PP4 recipe and model coverage page (https://github.com/NVIDIA-NeMo/Automodel/blob/main/docs/model-coverage/llm/thud [README 설치·사용 부분 발췌] Getting Started檢視完整 README ↗
目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
📣 News and Discussions • [09/11/2026]DeepSeek-V4.1-Flash We now support SFT and LoRA for DeepSeek's causal encoder/decoder backbone with CSA2, single-pass mHC, and Engram, many thanks to @Khazic. Check out the HellaSwag EP64 16-node recipe and model coverage page. • [08/29/2026]GLM-5.3 We now support full-parameter fine-tuning of Z.ai's GLM-5.3 with cuDNN DSA and HybridEP. Check out the EP64/PP4 recipe and model coverage page (https://github.com/NVIDIA-NeMo/Automodel/blob/main/docs/model-coverage/llm/thud [README 설치·사용 부분 발췌] Getting Started檢視完整 README ↗