LLM

大模型自用资料。

前沿解读

• https://magazine.sebastianraschka.com/

GGUF模型下载

• https://modelscope.cn/models

论文 & 模型 & 技术报告

deepseek

基座模型

• DeepSeek-VL2: https://github.com/deepseek-ai/DeepSeek-VL2/blob/main/DeepSeek_VL2_paper.pdf https://arxiv.org/pdf/2412.10302
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs viaReinforcement Learning https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf
• DeepSeek-V3 Technical Report https://github.com/deepseek-ai/DeepSeek-V3/blob/main/DeepSeek_V3.pdf
• DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model https://arxiv.org/abs/2405.04434
• DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models https://arxiv.org/abs/2401.06066
• DeepSeek LLM: Scaling Open-Source Language Models with Longtermism https://arxiv.org/abs/2401.02954

代码模型

• DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence https://arxiv.org/abs/2406.11931
• DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence https://arxiv.org/pdf/2401.14196

数学推理

• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models https://arxiv.org/abs/2402.03300
• DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning

定理证明

• DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via RL for Subgoal Decomposition
• DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search https://arxiv.org/abs/2408.08152
• DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data https://arxiv.org/abs/2405.14333

多模态

• DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding https://arxiv.org/abs/2412.10302
• DeepSeek-VL: Towards Real-World Vision-Language Understanding

其它

• Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention https://arxiv.org/abs/2502.11089

Qwen

• Qwen3: https://github.com/QwenLM/Qwen3/blob/main/Qwen3_Technical_Report.pdf

Gemini

• Gemini 2.5: https://link.zhihu.com/?target=https%3A//storage.googleapis.com/deepmind-media/gemini/gemini_v2_5_report.pdf

Kimi

• K2: https://github.com/MoonshotAI/Kimi-K2/blob/main/tech_report.pdf

GLM

• GLM-4.5: https://arxiv.org/abs/2508.06471

o1

• let's verify step by step: https://arxiv.org/pdf/2305.20050
• Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters: https://arxiv.org/pdf/2408.03314

其它

• ChatGLM2 CODE
• LLaMA: Open and Efficient Foundation Language Models PDF CODE
• ChatGLM CODE
• PaLM: Scaling Language Modeling with Pathways PDF
• InstructGPT PDF
• GPT 3.0 PDF
• T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer PDF CODE
• GPT 2.0 PDF
• GPT 1.0 PDF
• BERT PDF
• Transformers PDF

Transformer原理

• transformer-explainer https://poloclub.github.io/transformer-explainer
• The Illustrated Transformer http://jalammar.github.io/illustrated-transformer/

工具

• langchain

书籍

• 大语言模型

评测

• A Survey on Evaluation of Large Language Models