Comparison
Liger-Kernel vs alpaca-lora
Verdict
Pick Liger-Kernel if optimized Triton kernels for accelerating LLM training, especially on ROCm PyTorch installations; pick alpaca-lora if alpaca-lora is an instruct tuning repository for the LLaMA model designed to work with consumer-grade hardware through Docker integration.
Markdown twin · Liger-Kernel alternatives · alpaca-lora alternatives
GraphCanon updated Sep 26, 2026
6views this month
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Trust & integrity
| Signal | Liger-Kernel | alpaca-lora |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 7, 2026 · github_public_v1 | Dormant (788d since push) As of Sep 26, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 26, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings 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
- Liger-Kernel
- Efficient Triton Kernels for LLM Training
- alpaca-lora
- Instruct-tune LLaMA on consumer hardware
Stars
- Liger-Kernel
- 6.6k
- alpaca-lora
- 19k
Forks
- Liger-Kernel
- 593
- alpaca-lora
- 2.2k
Open issues
- Liger-Kernel
- 215
- alpaca-lora
- 364
Language
- Liger-Kernel
- Python
- alpaca-lora
- Jupyter Notebook
Adopt for
- Liger-Kernel
- Optimized Triton kernels for accelerating LLM training, especially on ROCm PyTorch installations.
- alpaca-lora
- alpaca-lora is an instruct tuning repository for the LLaMA model designed to work with consumer-grade hardware through Docker integration.
Persona
- Liger-Kernel
- -
- alpaca-lora
- developer harness
Runtime
- Liger-Kernel
- -
- alpaca-lora
- -
License
- Liger-Kernel
- BSD-2-Clause
- alpaca-lora
- The Apache-2.0 license applies, allowing wide-ranging reuse and distribution of the software, provided that copyright notices are included and applicable files accompany distributed executables.
Last pushed
- Liger-Kernel
- Sep 3, 2026
- alpaca-lora
- Jul 29, 2024
Categories
- Liger-Kernel
- Model Training
- alpaca-lora
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- Liger-Kernel
- Very active (96%)
- alpaca-lora
- Dormant (18%)
Days since push
- Liger-Kernel
- 3d
- alpaca-lora
- 788d
Open issues (now)
- Liger-Kernel
- 215
- alpaca-lora
- 364
Stars delta
- Liger-Kernel
- +45 (30d)
- alpaca-lora
- -10 (30d)
Open issues delta
- Liger-Kernel
- +25 (30d)
- alpaca-lora
- -1 (30d)
Owner type
- Liger-Kernel
- Organization
- alpaca-lora
- User
OSV dependency advisories
- Liger-Kernel
- No lockfile (source not queried)
- alpaca-lora
- Published findings
Full report
- Liger-Kernel
- Trust report
- alpaca-lora
- Trust report
Choose Liger-Kernel if…
- Liger-Kernel is primarily Python; alpaca-lora is Jupyter Notebook.
- License: Liger-Kernel is BSD-2-Clause, alpaca-lora is Apache-2.0.
- Tags unique to Liger-Kernel: finetuning, gemma2, mistral, phi3.
- When enhancing training speed of large language models with ROCm-compatible hardware.
When NOT to use Liger-Kernel
- Avoid if only CUDA environments are supported, as Liger-Kernel emphasizes ROCm compatibility.
- Skip for simple setup requirements; prefer more streamlined tools without extensive customization options.
Choose alpaca-lora if…
- alpaca-lora is primarily Jupyter Notebook; Liger-Kernel is Python.
- License: alpaca-lora is Apache-2.0, Liger-Kernel is BSD-2-Clause.
- Pricing: The source code is freely available under the Apache-2.0 license, but costs associated with hardware and cloud services for running Docker may apply..
- Tags unique to alpaca-lora: consumer hardware, docker, instruct-tune, lora.
- Also covers Inference & Serving, LLM Frameworks.
- alpaca-lora ships Docker support for self-hosted deployment.
- When you have limited GPU resources but want to perform instruction-fine-tuning on the LLaMA model, and your setup supports basic Docker.
When NOT to use alpaca-lora
- When you require more advanced customization beyond what is offered through the `finetune.py` script parameters or Jupyter Notebook interface.
- For teams with high-performance computing resources aiming for optimal performance, as alpaca-lora is optimized for use on consumer-grade hardware.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (linkedin/Liger-Kernel) · observed Sep 20, 2026
- GitHub forks (linkedin/Liger-Kernel) · observed Sep 20, 2026
- Last push (linkedin/Liger-Kernel) · observed Sep 3, 2026
- License file (BSD-2-Clause) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tloen/alpaca-lora) · observed Sep 26, 2026
- GitHub forks (tloen/alpaca-lora) · observed Sep 26, 2026
- Last push (tloen/alpaca-lora) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Sep 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Liger-Kernel 6.6k · alpaca-lora 19k (synced Sep 20, 2026).
Common questions
- What is the difference between Liger-Kernel and alpaca-lora?
- Liger-Kernel: Efficient Triton Kernels for LLM Training. alpaca-lora: Instruct-tune LLaMA on consumer hardware. See the comparison table for live GitHub stats and shared categories.
- When should I choose Liger-Kernel over alpaca-lora?
- Choose Liger-Kernel over alpaca-lora when Liger-Kernel is primarily Python; alpaca-lora is Jupyter Notebook; License: Liger-Kernel is BSD-2-Clause, alpaca-lora is Apache-2.0; Tags unique to Liger-Kernel: finetuning, gemma2, mistral, phi3; When enhancing training speed of large language models with ROCm-compatible hardware.
- When should I choose alpaca-lora over Liger-Kernel?
- Choose alpaca-lora over Liger-Kernel when alpaca-lora is primarily Jupyter Notebook; Liger-Kernel is Python; License: alpaca-lora is Apache-2.0, Liger-Kernel is BSD-2-Clause; Pricing: The source code is freely available under the Apache-2.0 license, but costs associated with hardware and cloud services for running Docker may apply.; Tags unique to alpaca-lora: consumer hardware, docker, instruct-tune, lora; Also covers Inference & Serving, LLM Frameworks; alpaca-lora ships Docker support for self-hosted deployment; When you have limited GPU resources but want to perform instruction-fine-tuning on the LLaMA model, and your setup supports basic Docker.
- When should I avoid Liger-Kernel?
- Avoid if only CUDA environments are supported, as Liger-Kernel emphasizes ROCm compatibility. Skip for simple setup requirements; prefer more streamlined tools without extensive customization options.
- When should I avoid alpaca-lora?
- When you require more advanced customization beyond what is offered through the
finetune.pyscript parameters or Jupyter Notebook interface. For teams with high-performance computing resources aiming for optimal performance, as alpaca-lora is optimized for use on consumer-grade hardware. - Is Liger-Kernel or alpaca-lora more popular on GitHub?
- alpaca-lora has more GitHub stars (18,902 vs 6,600). Stars measure visibility, not whether either tool fits your constraints.
- Are Liger-Kernel and alpaca-lora open source?
- Yes - both are open-source projects on GitHub (Liger-Kernel: BSD-2-Clause, alpaca-lora: Apache-2.0).
- Where can I find alternatives to Liger-Kernel or alpaca-lora?
- GraphCanon lists graph-backed alternatives at Liger-Kernel alternatives and alpaca-lora alternatives (Liger-Kernel markdown twin, alpaca-lora 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, Liger-Kernel or alpaca-lora?
- Liger-Kernel: Very active. alpaca-lora: Dormant. 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 Liger-Kernel and alpaca-lora?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Liger-Kernel trust report; alpaca-lora trust report.