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  3. MYLLM
MCP server · RAG

MYLLM

· github.com/dinglizhong/MYLLM

丁立中的大模型算法工程作品集。聚焦 LLM / VLM 全链路的复现与优化，涵盖：① 预训练与微调（Pretrain / SFT / MoE / 多模态对齐）；② 强化学习对齐（PPO / GRPO / DAPO，含多奖励函数与 GAE）；③ 知识蒸馏（离线 KL 蒸馏、在线策略蒸馏、跨 Tokenizer 蒸馏、Embedding 蒸馏）；④ 前沿架构复现（DeepSeek MLA/MTP、Kimi Attention Residual、S1 Test-Time Scaling）；⑤ 工程应用（RAG、MCP 深度研究 Agent、PDF2Markdown、LLM 工具调用）。全部基于 PyTorch + Transformers 从零实现，支持 DeepSpeed 分布式训练与 BF16

Unclaimed rag
InstallView source
39Low

Scored a month ago · breakdown

About MYLLM

MYLLM is an MCP server in the RAG category: 丁立中的大模型算法工程作品集。聚焦 LLM / VLM 全链路的复现与优化，涵盖：① 预训练与微调（Pretrain / SFT / MoE / 多模态对齐）；② 强化学习对齐（PPO / GRPO / DAPO，含多奖励函数与 GAE）；③ 知识蒸馏（离线 KL 蒸馏、在线策略蒸馏、跨 Tokenizer 蒸馏、Embedding 蒸馏）；④ 前沿架构复现（DeepSeek MLA/MTP、Kimi Attention Residual、S1 Test-Time Scaling）；⑤ 工程应用（RAG、MCP 深度研究 Agent、PDF2Markdown、LLM 工具调用）。全部基于 PyTorch + Transformers 从零实现，支持 DeepSpeed 分布式训练与 BF16.

Install

From source
git clone https://github.com/dinglizhong/MYLLM

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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About MYLLM

How do I install MYLLM?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is MYLLM safe to use with an AI agent?

Its trust score is 39 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is MYLLM still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.