Comparison
qlora vs FineTuningLLMs
Verdict
Pick qlora if qLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family; pick FineTuningLLMs if fineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks.
Markdown twin · qlora alternatives · FineTuningLLMs alternatives
GraphCanon updated Sep 26, 2026
10views this month
vs
Trust & integrity
| Signal | qlora | FineTuningLLMs |
|---|---|---|
| Maintenance | Dormant (837d since push) As of Sep 26, 2026 · github_public_v1 | Slowing (203d since push) As of Sep 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 26, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- qlora
- QLoRA finetuning of quantized LLMs
- FineTuningLLMs
- Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'
Stars
- qlora
- 11k
- FineTuningLLMs
- 865
Forks
- qlora
- 876
- FineTuningLLMs
- 119
Open issues
- qlora
- 207
- FineTuningLLMs
- 4
Language
- qlora
- Jupyter Notebook
- FineTuningLLMs
- Jupyter Notebook
Adopt for
- qlora
- QLoRA specializes in accelerating the fine-tuning process of quantized large language models like those in the Guanaco family.
- FineTuningLLMs
- FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks.
Persona
- qlora
- -
- FineTuningLLMs
- -
Runtime
- qlora
- -
- FineTuningLLMs
- -
License
- qlora
- MIT License; open-source tool for QLoRA fine-tuning process; LLaMA base models must be obtained legally as per their license terms
- FineTuningLLMs
- MIT
Last pushed
- qlora
- Jun 10, 2024
- FineTuningLLMs
- Feb 28, 2026
Categories
- qlora
- LLM Frameworks, Model Training
- FineTuningLLMs
- LLM Frameworks, Model Training
Trust and health
Maintenance
- qlora
- Dormant (18%)
- FineTuningLLMs
- Slowing (36%)
Days since push
- qlora
- 837d
- FineTuningLLMs
- 203d
Open issues (now)
- qlora
- 207
- FineTuningLLMs
- 4
Stars delta
- qlora
- +42 (30d)
- FineTuningLLMs
- +14 (30d)
Open issues delta
- qlora
- +1 (30d)
- FineTuningLLMs
- 0 (30d)
OSV dependency advisories
- qlora
- Published findings
- FineTuningLLMs
- No lockfile (source not queried)
Full report
- qlora
- Trust report
- FineTuningLLMs
- Trust report
Choose qlora if…
- Pricing: Open source under MIT License; requires access to LLaMA base models.
- Requirements: Installation involves installing PyTorch and specific packages from source; Works with model sizes ranging from 7B to 65B, includes recommendations for tuning different sizes.
- Tags unique to qlora: guanaco, llama models, quantization.
- Need efficient fine-tuning for quantized LLaMA-based models
When NOT to use qlora
- Require native full-precision model tuning without efficiency constraints
- Focusing on non-LLaMA-based language models where specific adaptations may not apply
Choose FineTuningLLMs if…
- 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
- More recently updated (last pushed Feb 28, 2026).
When NOT to use FineTuningLLMs
- Not interested in PyTorch; prefer TensorFlow or another framework
- Seek theoretical background over practical applications
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (artidoro/qlora) · observed Sep 26, 2026
- GitHub forks (artidoro/qlora) · observed Sep 26, 2026
- Last push (artidoro/qlora) · observed Jun 10, 2024
- License file (MIT) · observed Sep 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (dvgodoy/FineTuningLLMs) · observed Sep 20, 2026
- GitHub forks (dvgodoy/FineTuningLLMs) · observed Sep 20, 2026
- Last push (dvgodoy/FineTuningLLMs) · observed Feb 28, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: qlora 11k · FineTuningLLMs 865 (synced Sep 26, 2026).
Common questions
- What is the difference between qlora and FineTuningLLMs?
- qlora: QLoRA finetuning of quantized LLMs. FineTuningLLMs: Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'. See the comparison table for live GitHub stats and shared categories.
- When should I choose qlora over FineTuningLLMs?
- Choose qlora over FineTuningLLMs when Pricing: Open source under MIT License; requires access to LLaMA base models; Requirements: Installation involves installing PyTorch and specific packages from source; Works with model sizes ranging from 7B to 65B, includes recommendations for tuning different sizes; Tags unique to qlora: guanaco, llama models, quantization; Need efficient fine-tuning for quantized LLaMA-based models.
- When should I choose FineTuningLLMs over qlora?
- Choose FineTuningLLMs over qlora when 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; More recently updated (last pushed Feb 28, 2026).
- When should I avoid qlora?
- Require native full-precision model tuning without efficiency constraints Focusing on non-LLaMA-based language models where specific adaptations may not apply
- When should I avoid FineTuningLLMs?
- Not interested in PyTorch; prefer TensorFlow or another framework Seek theoretical background over practical applications
- Is qlora or FineTuningLLMs more popular on GitHub?
- qlora has more GitHub stars (11,021 vs 865). Stars measure visibility, not whether either tool fits your constraints.
- Are qlora and FineTuningLLMs open source?
- Yes - both are open-source projects on GitHub (qlora: MIT, FineTuningLLMs: MIT).
- Where can I find alternatives to qlora or FineTuningLLMs?
- GraphCanon lists graph-backed alternatives at qlora alternatives and FineTuningLLMs alternatives (qlora markdown twin, FineTuningLLMs 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, qlora or FineTuningLLMs?
- qlora: Dormant. FineTuningLLMs: 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 qlora and FineTuningLLMs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: qlora trust report; FineTuningLLMs trust report.