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|---|---|---|
| .. | ||
| impl | ||
| labs | ||
| notes | ||
| portfolio | ||
| 00_syllabus.md | ||
| 01_project_overview.md | ||
| 02_environment_and_resources.md | ||
| 03_cli_inference.md | ||
| 04_tokenizer_and_special_tokens.md | ||
| 05_sft_dataset_and_labels.md | ||
| 06_pretrain_vs_sft.md | ||
| 07_pretrain_training_entry.md | ||
| 08_minimind_config_and_params.md | ||
| 09_embedding_norm_residual_block.md | ||
| 10_causal_lm_forward_and_loss_shift.md | ||
| 11_attention_principles_and_source.md | ||
| 12_rope_and_kv_cache.md | ||
| 13_ffn_and_moe.md | ||
| 14_lr_grad_accum_amp.md | ||
| 15_checkpoint_resume.md | ||
| 16_full_sft_training_overview.md | ||
| 17_pretrain_to_full_sft.md | ||
| 18_lora_principles_and_implementation.md | ||
| 19_lora_training_flow.md | ||
| 20_distillation_training_flow.md | ||
| 21_dpo_dataset_and_reference.md | ||
| 22_dpo_loss_source.md | ||
| 23_ppo_training_flow.md | ||
| 24_grpo_cispo.md | ||
| 25_reward_logprob_kl.md | ||
| 26_tool_use_and_agentic_rl.md | ||
| 27_model_conversion_api_webui.md | ||
| 28_final_review_and_capstone.md | ||
| README.md | ||
README.md
MiniMind Source Course
This directory contains a personal source-code-driven learning course built on top of MiniMind.
Original project:
- Repository: https://github.com/jingyaogong/minimind
- License: Apache-2.0
What this directory adds:
00_syllabus.md: course map and learning route.01_*.mdto28_*.md: source-guided lessons.labs/: small runnable experiments for tracing tokens, labels, shapes, losses, logprobs, rewards, and deployment surfaces.impl/: teaching implementation of selected MiniMind core ideas.notes/: personal notes and recurring mistakes.portfolio/: progress, experiment logs, implementation notes, and resume draft.
Scope:
The original MiniMind source code remains authored by the MiniMind project. This course is an added learning layer for reading, tracing, and re-implementing selected concepts from the source.