Haian Huang(深度眸)

@hhaAndroid · User

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LLM&MLLM Infra, RL

nuaa上海740 followers141 repositories

Repositories

hhaAndroid/miles

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.

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hhaAndroid/RL

Scalable toolkit for efficient model reinforcement

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hhaAndroid/DeepSpec

DeepSpec: a full-stack codebase for training and evaluating speculative decoding algorithms

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hhaAndroid/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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hhaAndroid/verl

verl: Volcano Engine Reinforcement Learning for LLMs

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hhaAndroid/sglang

SGLang is a fast serving framework for large language models and vision language models.

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hhaAndroid/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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hhaAndroid/ms-swift

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, GLM4.5, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, InternVL3, Ovis2.5, Llava, GLM4v, Phi4, ...) (AAAI 2025).

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hhaAndroid/slime

slime is a LLM post-training framework aiming at scaling RL.

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hhaAndroid/MHA2MLA

Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs

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hhaAndroid/APE

Aligning and Prompting Everything All at Once for Universal Visual Perception

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hhaAndroid/DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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hhaAndroid/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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