walkinglabs / modern-llm-notebook
A hands-on course on modern LLM architectures, training, and inference, with step-by-step PyTorch implementations and runnable notebooks.
Why this job: says: course on, hands on course; topics: tutorial, course
What it does
Train a BPE tokenizer, prepare real data, and pretrain a 64M-class model. Continue with SFT, then explore MoE, tool calling, post-training, and inference.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 40 days ago
- Stars
- 283
- +4 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 95% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 1 still open
- Pull requests
- 29 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 95%
- JavaScript 2%
- Python 2%
- CSS 1%
Topics
- ai
- attention
- course
- deep-learning
- education
- finetune
- gpt
- jupyter-notebook
- large-language-models
- llm
- llm-from-scratch
- llm-inference
Project record
- JobLists and guides
- StatusListed
- Commits308
- Forks61
- Watching3
- Stars in 28 days+33
- CreatedMay 17, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026