--- title: "pratical-llms vs Large-Language-Model-Notebooks-Course" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/antoniogr7-pratical-llms-vs-peremartra-large-language-model-notebooks-course" tools: ["antoniogr7-pratical-llms", "peremartra-large-language-model-notebooks-course"] --- # pratical-llms vs Large-Language-Model-Notebooks-Course *GraphCanon updated Aug 15, 2026* ## Verdict Pick pratical-llms if practical-llms is a collection of Jupyter Notebooks aimed at LLM practitioners with practical guidance on quantization, sharding, inference and evaluation techniques; pick Large-Language-Model-Notebooks-Course if a developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face. [pratical-llms](https://github.com/AntonioGr7/pratical-llms) reports 53 GitHub stars, 15 forks, and 0 open issues, last pushed Jan 13, 2025. [Large-Language-Model-Notebooks-Course](https://medium.com/@peremartra/list/large-language-models-practical-course-66b4ce5943ce) has 1.8k stars, 447 forks, and 0 open issues, last pushed May 28, 2026. Figures are from public GitHub metadata via [pratical-llms's repository](https://github.com/AntonioGr7/pratical-llms) and [Large-Language-Model-Notebooks-Course's repository](https://github.com/peremartra/Large-Language-Model-Notebooks-Course). | | [pratical-llms](/tools/antoniogr7-pratical-llms.md) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Tagline | A collection of hands-on notebooks for LLM practitioners | Practical course about Large Language Models | | Stars | 53 | 1,821 | | Forks | 15 | 447 | | Open issues | 0 | 0 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | practical-llms is a collection of Jupyter Notebooks aimed at LLM practitioners with practical guidance on quantization, sharding, inference and evaluation techniques. | A developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pratical-llms](/tools/antoniogr7-pratical-llms.md) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 572d | 79d | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/antoniogr7-pratical-llms/trust.md) | [trust report](/tools/peremartra-large-language-model-notebooks-course/trust.md) | ## Decision facts: pratical-llms - **Adopt for:** practical-llms is a collection of Jupyter Notebooks aimed at LLM practitioners with practical guidance on quantization, sharding, inference and evaluation techniques. ## Decision facts: Large-Language-Model-Notebooks-Course - **Adopt for:** A developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face. ## Choose when ### Choose pratical-llms if… - Tags unique to pratical-llms: genai, llm-evaluation, llm-inference, llm-serving. - If you want to explore specific quantization methods like BitandBytes, GPTQ, exllamav2, or Half-Quadratic Quantization (HQQ). ### Choose Large-Language-Model-Notebooks-Course if… - Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain. - You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries. - More GitHub stars (1.8k vs 53) - visibility, not fit. ## When NOT to use pratical-llms - If you seek deep theoretical insights rather than practical implementation details. - For users looking for commercial support as this repository does not provide it, unlike some competitors. ## When NOT to use Large-Language-Model-Notebooks-Course - Seeking a complete, finalized course where all content is available for immediate use without future updates. - Looking exclusively for theory; the course emphasizes practical application over theoretical depth. ## Common questions ### What is the difference between pratical-llms and Large-Language-Model-Notebooks-Course? pratical-llms: A collection of hands-on notebooks for LLM practitioners. Large-Language-Model-Notebooks-Course: Practical course about Large Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose pratical-llms over Large-Language-Model-Notebooks-Course? Choose pratical-llms over Large-Language-Model-Notebooks-Course when Tags unique to pratical-llms: genai, llm-evaluation, llm-inference, llm-serving; If you want to explore specific quantization methods like BitandBytes, GPTQ, exllamav2, or Half-Quadratic Quantization (HQQ). ### When should I choose Large-Language-Model-Notebooks-Course over pratical-llms? Choose Large-Language-Model-Notebooks-Course over pratical-llms when Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain; You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries; More GitHub stars (1.8k vs 53) - visibility, not fit. ### When should I avoid pratical-llms? If you seek deep theoretical insights rather than practical implementation details. For users looking for commercial support as this repository does not provide it, unlike some competitors. ### When should I avoid Large-Language-Model-Notebooks-Course? Seeking a complete, finalized course where all content is available for immediate use without future updates. Looking exclusively for theory; the course emphasizes practical application over theoretical depth. ### Is pratical-llms or Large-Language-Model-Notebooks-Course more popular on GitHub? Large-Language-Model-Notebooks-Course has more GitHub stars (1,821 vs 53). Stars measure visibility, not whether either tool fits your constraints. ### Are pratical-llms and Large-Language-Model-Notebooks-Course open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to pratical-llms or Large-Language-Model-Notebooks-Course? GraphCanon lists graph-backed alternatives at [pratical-llms alternatives](/tools/antoniogr7-pratical-llms/alternatives) and [Large-Language-Model-Notebooks-Course alternatives](/tools/peremartra-large-language-model-notebooks-course/alternatives) ([pratical-llms markdown twin](/tools/antoniogr7-pratical-llms/alternatives.md), [Large-Language-Model-Notebooks-Course markdown twin](/tools/peremartra-large-language-model-notebooks-course/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/antoniogr7-pratical-llms-vs-peremartra-large-language-model-notebooks-course.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pratical-llms or Large-Language-Model-Notebooks-Course? pratical-llms: Dormant. Large-Language-Model-Notebooks-Course: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for pratical-llms and Large-Language-Model-Notebooks-Course? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pratical-llms trust report](/tools/antoniogr7-pratical-llms/trust); [Large-Language-Model-Notebooks-Course trust report](/tools/peremartra-large-language-model-notebooks-course/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=antoniogr7-pratical-llms`](/api/graphcanon/graph?tool=antoniogr7-pratical-llms) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_