Comparison
FineTuningLLMs vs Hands-On-Large-Language-Models
Verdict
Pick FineTuningLLMs if fineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks; pick Hands-On-Large-Language-Models if consider using the 'Hands-On-Large-Language-Models' repository if your interest aligns with hands-on learning and practice of large language models through coding examples.
Markdown twin · FineTuningLLMs alternatives · Hands-On-Large-Language-Models alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | FineTuningLLMs | Hands-On-Large-Language-Models |
|---|---|---|
| Maintenance | Slowing (176d since push) As of 2d · github_public_v1 | Slowing (114d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2d · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- FineTuningLLMs
- Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'
- Hands-On-Large-Language-Models
- Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'
Stars
- FineTuningLLMs
- 855
- Hands-On-Large-Language-Models
- 28k
Forks
- FineTuningLLMs
- 116
- Hands-On-Large-Language-Models
- 6.5k
Open issues
- FineTuningLLMs
- 4
- Hands-On-Large-Language-Models
- 38
Language
- FineTuningLLMs
- Jupyter Notebook
- Hands-On-Large-Language-Models
- Jupyter Notebook
Adopt for
- FineTuningLLMs
- FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks.
- Hands-On-Large-Language-Models
- Consider using the 'Hands-On-Large-Language-Models' repository if your interest aligns with hands-on learning and practice of large language models through coding examples.
Persona
- FineTuningLLMs
- -
- Hands-On-Large-Language-Models
- -
Runtime
- FineTuningLLMs
- -
- Hands-On-Large-Language-Models
- -
License
- FineTuningLLMs
- MIT
- Hands-On-Large-Language-Models
- Apache-2.0 License
Last pushed
- FineTuningLLMs
- Feb 28, 2026
- Hands-On-Large-Language-Models
- Apr 24, 2026
Categories
- FineTuningLLMs
- LLM Frameworks, Model Training
- Hands-On-Large-Language-Models
- LLM Frameworks, Model Training
Trust and health
Days since push
- FineTuningLLMs
- 176d
- Hands-On-Large-Language-Models
- 114d
Open issues (now)
- FineTuningLLMs
- 4
- Hands-On-Large-Language-Models
- 38
Stars delta
- FineTuningLLMs
- +4 (30d)
- Hands-On-Large-Language-Models
- +642 (30d)
Owner type
- FineTuningLLMs
- User
- Hands-On-Large-Language-Models
- Organization
Full report
- FineTuningLLMs
- Trust report
- Hands-On-Large-Language-Models
- Trust report
Choose FineTuningLLMs if…
- License: FineTuningLLMs is MIT, Hands-On-Large-Language-Models is Apache-2.0.
- Tags unique to FineTuningLLMs: bitsandbytes, fine-tuning, finetuning, hugging-face.
- You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem
When NOT to use FineTuningLLMs
- Not interested in PyTorch; prefer TensorFlow or another framework
- Seek theoretical background over practical applications
Choose Hands-On-Large-Language-Models if…
- License: Hands-On-Large-Language-Models is Apache-2.0, FineTuningLLMs is MIT.
- Pricing: The repository is free and open under the Apache-2.0 license..
- Requirements: - Access to Jupyter Notebook is required for running code examples provided in this repository.; - Fundamental understanding of large language models and familiarity with AI concepts would be beneficial..
- Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, llm, llms.
- - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book.
When NOT to use Hands-On-Large-Language-Models
- - If you need real-time model evaluation tools rather than educational materials, as this repository primarily provides code for understanding and implementing concepts covered in a book.
- - You are seeking proprietary or more specialized frameworks that go beyond the examples provided in an educational context to meet specific, advanced use-case needs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dvgodoy/FineTuningLLMs) · observed Aug 24, 2026
- GitHub forks (dvgodoy/FineTuningLLMs) · observed Aug 24, 2026
- Last push (dvgodoy/FineTuningLLMs) · observed Feb 28, 2026
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (HandsOnLLM/Hands-On-Large-Language-Models) · observed Aug 16, 2026
- GitHub forks (HandsOnLLM/Hands-On-Large-Language-Models) · observed Aug 16, 2026
- Last push (HandsOnLLM/Hands-On-Large-Language-Models) · observed Apr 24, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FineTuningLLMs 855 · Hands-On-Large-Language-Models 28k (synced Aug 24, 2026).
Common questions
- What is the difference between FineTuningLLMs and Hands-On-Large-Language-Models?
- FineTuningLLMs: Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'. Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'. See the comparison table for live GitHub stats and shared categories.
- When should I choose FineTuningLLMs over Hands-On-Large-Language-Models?
- Choose FineTuningLLMs over Hands-On-Large-Language-Models when License: FineTuningLLMs is MIT, Hands-On-Large-Language-Models is Apache-2.0; Tags unique to FineTuningLLMs: bitsandbytes, fine-tuning, finetuning, hugging-face; You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem.
- When should I choose Hands-On-Large-Language-Models over FineTuningLLMs?
- Choose Hands-On-Large-Language-Models over FineTuningLLMs when License: Hands-On-Large-Language-Models is Apache-2.0, FineTuningLLMs is MIT; Pricing: The repository is free and open under the Apache-2.0 license.; Requirements: - Access to Jupyter Notebook is required for running code examples provided in this repository.; - Fundamental understanding of large language models and familiarity with AI concepts would be beneficial.; Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, llm, llms; - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book.
- When should I avoid FineTuningLLMs?
- Not interested in PyTorch; prefer TensorFlow or another framework Seek theoretical background over practical applications
- When should I avoid Hands-On-Large-Language-Models?
- - If you need real-time model evaluation tools rather than educational materials, as this repository primarily provides code for understanding and implementing concepts covered in a book. - You are seeking proprietary or more specialized frameworks that go beyond the examples provided in an educational context to meet specific, advanced use-case needs.
- Is FineTuningLLMs or Hands-On-Large-Language-Models more popular on GitHub?
- Hands-On-Large-Language-Models has more GitHub stars (28,252 vs 855). Stars measure visibility, not whether either tool fits your constraints.
- Are FineTuningLLMs and Hands-On-Large-Language-Models open source?
- Yes - both are open-source projects on GitHub (FineTuningLLMs: MIT, Hands-On-Large-Language-Models: Apache-2.0).
- Where can I find alternatives to FineTuningLLMs or Hands-On-Large-Language-Models?
- GraphCanon lists graph-backed alternatives at FineTuningLLMs alternatives and Hands-On-Large-Language-Models alternatives (FineTuningLLMs markdown twin, Hands-On-Large-Language-Models markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, FineTuningLLMs or Hands-On-Large-Language-Models?
- FineTuningLLMs: Slowing. Hands-On-Large-Language-Models: Slowing. 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 FineTuningLLMs and Hands-On-Large-Language-Models?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FineTuningLLMs trust report; Hands-On-Large-Language-Models trust report.