Training MiniDeepSeek V3+R1 from Scratch: Full-Scale Large Model Technical Practice for 2025
This tutorial series provides a step‑by‑step technical guide to training, deploying, and fine‑tuning the MiniDeepSeek V3+R1 large language model, covering model performance, open‑source details, API usage, parameter explanation, multi‑turn chatbot construction, function calling, integration with Open WebUI, GraphRAG, Swarm, and various deployment and optimization techniques.
1. Introduction – Overview of MiniDeepSeek V3+R1 and its 2025 large‑model technical practice (mp4).
2. DeepSeek V3 – Model performance introduction (mp4).
3. DeepSeek V3 – Open‑source status overview (mp4).
4. DeepSeek API‑Key – How to obtain the key and call the model (mp4).
5. DeepSeek V3 – Detailed model parameters (mp4).
6. Building a multi‑turn dialogue bot with DeepSeek V3 (mp4).
7. DeepSeek V3 Function Calling – Feature introduction (mp4).
8. DeepSeek V3 Function Calling – Complete execution flow (mp4).
9. DeepSeek V3 + Open WebUI – Setting up a dedicated chat bot (mp4).
10. DeepSeek V3 + GraphRAG – Technical implementation ideas (mp4).
11. GraphRAG – Core principles explained (mp4).
12. DeepSeek V3 + GraphRAG – Integration process (mp4).
13. DeepSeek V3 + GraphRAG – Retrieval and query workflow (mp4).
14. SDK‑driven full GraphRAG execution process (mp4).
15. DeepSeek V3 + Swarm – Technical implementation ideas (mp4).
16. DeepSeek V3 + Swarm – Integration and code implementation (mp4).
17. Swarm – Core features and usage flow (mp4).
18. External tool invocation & Multi‑Agent workflow (mp4).
19. Practical guide – Building a multi‑agent customer‑service system with DeepSeek V3 (mp4).
20. DeepSeek V3 – Open‑source status overview (mp4).
21. DeepSeek V3 – Local deployment and transformer library call flow (mp4).
22. MiniDeepSeek V3 – Architecture design (mp4).
23. MiniDeepSeek V3 – Pre‑training process (mp4).
24. MiniDeepSeek V3 – Full instruction fine‑tuning workflow (mp4).
25. Instruction‑fine‑tuned model dialogue performance testing (mp4).
26. DPO – Reinforcement learning fine‑tuning and dialogue quality evaluation (mp4).
27. Front‑end execution of MiniDeepSeek (mp4).
28. DeepSeek R1 – Open‑source status overview (mp4).
29. Mainstream large‑model inference training approaches (mp4).
30. Model distillation basics and concepts for DeepSeek R1 (mp4).
31. Model distillation environment setup (mp4).
32. Model distillation dataset preparation and cleaning (mp4).
33. Model distillation practical workflow and performance comparison before/after distillation (mp4).
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