Comparison
FineTuningLLMs vs Jackrong-llm-finetuning-guide
Verdict
Pick FineTuningLLMs if fineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks; pick Jackrong-llm-finetuning-guide if jackrong-llm-finetuning-guide: A targeted instructive resource for those seeking to fine-tune their large language models such as LLaMA3 and Qwen using PyTorch.
Markdown twin · FineTuningLLMs alternatives · Jackrong-llm-finetuning-guide alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | FineTuningLLMs | Jackrong-llm-finetuning-guide |
|---|---|---|
| Maintenance | Slowing (176d since push) As of 1d · github_public_v1 | Steady (43d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · 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'
- Jackrong-llm-finetuning-guide
- A guide for fine-tuning large language models like LLaMA3 and Qwen using PyTorch
Stars
- FineTuningLLMs
- 855
- Jackrong-llm-finetuning-guide
- 1.7k
Forks
- FineTuningLLMs
- 116
- Jackrong-llm-finetuning-guide
- 269
Open issues
- FineTuningLLMs
- 4
- Jackrong-llm-finetuning-guide
- 11
Language
- FineTuningLLMs
- Jupyter Notebook
- Jackrong-llm-finetuning-guide
- Jupyter Notebook
Adopt for
- FineTuningLLMs
- FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks.
- Jackrong-llm-finetuning-guide
- Jackrong-llm-finetuning-guide: A targeted instructive resource for those seeking to fine-tune their large language models such as LLaMA3 and Qwen using PyTorch.
Persona
- FineTuningLLMs
- -
- Jackrong-llm-finetuning-guide
- -
Runtime
- FineTuningLLMs
- -
- Jackrong-llm-finetuning-guide
- -
License
- FineTuningLLMs
- MIT
- Jackrong-llm-finetuning-guide
- Apache License Version 2.0: Permits free use, distribution and modification of the software.
Last pushed
- FineTuningLLMs
- Feb 28, 2026
- Jackrong-llm-finetuning-guide
- Jul 11, 2026
Categories
- FineTuningLLMs
- LLM Frameworks, Model Training
- Jackrong-llm-finetuning-guide
- LLM Frameworks, Model Training
Trust and health
Maintenance
- FineTuningLLMs
- Slowing (36%)
- Jackrong-llm-finetuning-guide
- Steady (60%)
Days since push
- FineTuningLLMs
- 176d
- Jackrong-llm-finetuning-guide
- 43d
Open issues (now)
- FineTuningLLMs
- 4
- Jackrong-llm-finetuning-guide
- 11
Stars delta
- FineTuningLLMs
- +4 (30d)
- Jackrong-llm-finetuning-guide
- +57 (30d)
Full report
- FineTuningLLMs
- Trust report
- Jackrong-llm-finetuning-guide
- Trust report
Choose FineTuningLLMs if…
- License: FineTuningLLMs is MIT, Jackrong-llm-finetuning-guide 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 Jackrong-llm-finetuning-guide if…
- License: Jackrong-llm-finetuning-guide is Apache-2.0, FineTuningLLMs is MIT.
- Requirements: Requires Python environment setup for PyTorch and Jupyter Notebook familiarity..
- Tags unique to Jackrong-llm-finetuning-guide: dataset, deepseek, llama3, llm.
- You are specifically working with or planning to work with LLaMA3 or Qwen models, which this guide exclusively supports.
When NOT to use Jackrong-llm-finetuning-guide
- You prefer TensorFlow (or another deep learning framework not covered by Jackrong-llm-finetuning-guide) as your primary environment for developing AI models.
- Your interest lies in general knowledge about LLMs without the specifics of implementation or fine-tuning methodologies.
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 (R6410418/Jackrong-llm-finetuning-guide) · observed Aug 24, 2026
- GitHub forks (R6410418/Jackrong-llm-finetuning-guide) · observed Aug 24, 2026
- Last push (R6410418/Jackrong-llm-finetuning-guide) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FineTuningLLMs 855 · Jackrong-llm-finetuning-guide 1.7k (synced Aug 24, 2026).
Common questions
- What is the difference between FineTuningLLMs and Jackrong-llm-finetuning-guide?
- FineTuningLLMs: Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'. Jackrong-llm-finetuning-guide: A guide for fine-tuning large language models like LLaMA3 and Qwen using PyTorch. See the comparison table for live GitHub stats and shared categories.
- When should I choose FineTuningLLMs over Jackrong-llm-finetuning-guide?
- Choose FineTuningLLMs over Jackrong-llm-finetuning-guide when License: FineTuningLLMs is MIT, Jackrong-llm-finetuning-guide 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 Jackrong-llm-finetuning-guide over FineTuningLLMs?
- Choose Jackrong-llm-finetuning-guide over FineTuningLLMs when License: Jackrong-llm-finetuning-guide is Apache-2.0, FineTuningLLMs is MIT; Requirements: Requires Python environment setup for PyTorch and Jupyter Notebook familiarity.; Tags unique to Jackrong-llm-finetuning-guide: dataset, deepseek, llama3, llm; You are specifically working with or planning to work with LLaMA3 or Qwen models, which this guide exclusively supports.
- When should I avoid FineTuningLLMs?
- Not interested in PyTorch; prefer TensorFlow or another framework Seek theoretical background over practical applications
- When should I avoid Jackrong-llm-finetuning-guide?
- You prefer TensorFlow (or another deep learning framework not covered by Jackrong-llm-finetuning-guide) as your primary environment for developing AI models. Your interest lies in general knowledge about LLMs without the specifics of implementation or fine-tuning methodologies.
- Is FineTuningLLMs or Jackrong-llm-finetuning-guide more popular on GitHub?
- Jackrong-llm-finetuning-guide has more GitHub stars (1,661 vs 855). Stars measure visibility, not whether either tool fits your constraints.
- Are FineTuningLLMs and Jackrong-llm-finetuning-guide open source?
- Yes - both are open-source projects on GitHub (FineTuningLLMs: MIT, Jackrong-llm-finetuning-guide: Apache-2.0).
- Where can I find alternatives to FineTuningLLMs or Jackrong-llm-finetuning-guide?
- GraphCanon lists graph-backed alternatives at FineTuningLLMs alternatives and Jackrong-llm-finetuning-guide alternatives (FineTuningLLMs markdown twin, Jackrong-llm-finetuning-guide 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 Jackrong-llm-finetuning-guide?
- FineTuningLLMs: Slowing. Jackrong-llm-finetuning-guide: 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 FineTuningLLMs and Jackrong-llm-finetuning-guide?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FineTuningLLMs trust report; Jackrong-llm-finetuning-guide trust report.