Comparison
FineTuningLLMs vs peft
Verdict
Pick FineTuningLLMs if fineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks; pick peft if pEFT focuses on advanced techniques for efficiently tuning parameters in large models with Python.
Markdown twin · FineTuningLLMs alternatives · peft alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | FineTuningLLMs | peft |
|---|---|---|
| Maintenance | Slowing (146d since push) As of 1mo · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Organization account As of today · 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'
- peft
- State-of-the-art Parameter-Efficient Fine-Tuning
Stars
- FineTuningLLMs
- 851
- peft
- 22k
Forks
- FineTuningLLMs
- 114
- peft
- 2.4k
Open issues
- FineTuningLLMs
- 4
- peft
- 74
Language
- FineTuningLLMs
- Jupyter Notebook
- peft
- Python
Adopt for
- FineTuningLLMs
- FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks.
- peft
- PEFT focuses on advanced techniques for efficiently tuning parameters in large models with Python.
Persona
- FineTuningLLMs
- -
- peft
- -
Runtime
- FineTuningLLMs
- -
- peft
- -
License
- FineTuningLLMs
- MIT
- peft
- Apache-2.0
Last pushed
- FineTuningLLMs
- Feb 28, 2026
- peft
- Aug 22, 2026
Categories
- FineTuningLLMs
- LLM Frameworks, Model Training
- peft
- LLM Frameworks, Model Training
Trust and health
Maintenance
- FineTuningLLMs
- Slowing (36%)
- peft
- Very active (96%)
Days since push
- FineTuningLLMs
- 146d
- peft
- 1d
Open issues (now)
- FineTuningLLMs
- 4
- peft
- 74
Stars delta
- FineTuningLLMs
- Unknown
- peft
- +142 (30d)
Open issues delta
- FineTuningLLMs
- Unknown
- peft
- +16 (30d)
Owner type
- FineTuningLLMs
- User
- peft
- Organization
Full report
- FineTuningLLMs
- Trust report
- peft
- Trust report
Choose FineTuningLLMs if…
- FineTuningLLMs is primarily Jupyter Notebook; peft is Python.
- License: FineTuningLLMs is MIT, peft is Apache-2.0.
- Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, large language models.
- 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 peft if…
- peft is primarily Python; FineTuningLLMs is Jupyter Notebook.
- License: peft is Apache-2.0, FineTuningLLMs is MIT.
- Tags unique to peft: adapter, diffusion, llm, parameter-efficient-learning.
- When you need to fine-tune large language models but are constrained by compute resources or want to avoid overfitting.
When NOT to use peft
- If you require a tool that supports training from scratch, as PEFT is specifically designed for fine-tuning purposes only.
- When working on models where the full fine-tuning of all parameters is feasible or preferred due to ample compute resources and no concern over overfitting.
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 Jul 24, 2026
- GitHub forks (dvgodoy/FineTuningLLMs) · observed Jul 24, 2026
- Last push (dvgodoy/FineTuningLLMs) · observed Feb 28, 2026
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huggingface/peft) · observed Aug 23, 2026
- GitHub forks (huggingface/peft) · observed Aug 23, 2026
- Last push (huggingface/peft) · observed Aug 22, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FineTuningLLMs 851 · peft 22k (synced Jul 24, 2026).
Common questions
- What is the difference between FineTuningLLMs and peft?
- FineTuningLLMs: Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'. peft: State-of-the-art Parameter-Efficient Fine-Tuning. See the comparison table for live GitHub stats and shared categories.
- When should I choose FineTuningLLMs over peft?
- Choose FineTuningLLMs over peft when FineTuningLLMs is primarily Jupyter Notebook; peft is Python; License: FineTuningLLMs is MIT, peft is Apache-2.0; Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, large language models; You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem.
- When should I choose peft over FineTuningLLMs?
- Choose peft over FineTuningLLMs when peft is primarily Python; FineTuningLLMs is Jupyter Notebook; License: peft is Apache-2.0, FineTuningLLMs is MIT; Tags unique to peft: adapter, diffusion, llm, parameter-efficient-learning; When you need to fine-tune large language models but are constrained by compute resources or want to avoid overfitting.
- When should I avoid FineTuningLLMs?
- Not interested in PyTorch; prefer TensorFlow or another framework Seek theoretical background over practical applications
- When should I avoid peft?
- If you require a tool that supports training from scratch, as PEFT is specifically designed for fine-tuning purposes only. When working on models where the full fine-tuning of all parameters is feasible or preferred due to ample compute resources and no concern over overfitting.
- Is FineTuningLLMs or peft more popular on GitHub?
- peft has more GitHub stars (21,585 vs 851). Stars measure visibility, not whether either tool fits your constraints.
- Are FineTuningLLMs and peft open source?
- Yes - both are open-source projects on GitHub (FineTuningLLMs: MIT, peft: Apache-2.0).
- Where can I find alternatives to FineTuningLLMs or peft?
- GraphCanon lists graph-backed alternatives at FineTuningLLMs alternatives and peft alternatives (FineTuningLLMs markdown twin, peft 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 peft?
- FineTuningLLMs: Slowing. peft: Very active. 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 peft?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FineTuningLLMs trust report; peft trust report.