Comparison
SAM-Adapter-PyTorch vs alpaca-lora
Verdict
Pick SAM-Adapter-PyTorch if sAM-Adapter-PyTorch facilitates downstream task adaptation for SAM through adapters and prompts, specialized in camouflaged object detection with PyTorch; 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 · SAM-Adapter-PyTorch alternatives · alpaca-lora alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | SAM-Adapter-PyTorch | alpaca-lora |
|---|---|---|
| Maintenance | Steady (68d since push) As of 4w · github_public_v1 | Dormant (734d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- SAM-Adapter-PyTorch
- Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
- alpaca-lora
- Instruct-tune LLaMA on consumer hardware
Stars
- SAM-Adapter-PyTorch
- 1.5k
- alpaca-lora
- 19k
Forks
- SAM-Adapter-PyTorch
- 124
- alpaca-lora
- 2.2k
Open issues
- SAM-Adapter-PyTorch
- 66
- alpaca-lora
- 365
Language
- SAM-Adapter-PyTorch
- Python
- alpaca-lora
- Jupyter Notebook
Adopt for
- SAM-Adapter-PyTorch
- SAM-Adapter-PyTorch facilitates downstream task adaptation for SAM through adapters and prompts, specialized in camouflaged object detection with PyTorch.
- alpaca-lora
- alpaca-lora is an instruct tuning repository for the LLaMA model designed to work with consumer-grade hardware through Docker integration.
Persona
- SAM-Adapter-PyTorch
- -
- alpaca-lora
- developer harness
Runtime
- SAM-Adapter-PyTorch
- -
- alpaca-lora
- -
License
- SAM-Adapter-PyTorch
- MIT
- 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
- SAM-Adapter-PyTorch
- May 17, 2026
- alpaca-lora
- Jul 29, 2024
Categories
- SAM-Adapter-PyTorch
- Computer Vision, Model Training
- alpaca-lora
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- SAM-Adapter-PyTorch
- Steady (60%)
- alpaca-lora
- Dormant (18%)
Days since push
- SAM-Adapter-PyTorch
- 68d
- alpaca-lora
- 734d
Open issues (now)
- SAM-Adapter-PyTorch
- 66
- alpaca-lora
- 365
OSV dependency advisories
- SAM-Adapter-PyTorch
- No lockfile (source not queried)
- alpaca-lora
- Published findings
Full report
- SAM-Adapter-PyTorch
- Trust report
- alpaca-lora
- Trust report
Choose SAM-Adapter-PyTorch if…
- SAM-Adapter-PyTorch is primarily Python; alpaca-lora is Jupyter Notebook.
- License: SAM-Adapter-PyTorch is MIT, alpaca-lora is Apache-2.0.
- Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection.
- Also covers Computer Vision.
- Need to adapt SAM to specific tasks like detecting camouflaged objects
When NOT to use SAM-Adapter-PyTorch
- Looking for a toolset that primarily focuses on training from scratch rather than adapting pre-trained models
- Interested in frameworks other than PyTorch
Choose alpaca-lora if…
- alpaca-lora is primarily Jupyter Notebook; SAM-Adapter-PyTorch is Python.
- License: alpaca-lora is Apache-2.0, SAM-Adapter-PyTorch is MIT.
- 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, llama.
- 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 (tianrun-chen/SAM-Adapter-PyTorch) · observed Jul 24, 2026
- GitHub forks (tianrun-chen/SAM-Adapter-PyTorch) · observed Jul 24, 2026
- Last push (tianrun-chen/SAM-Adapter-PyTorch) · observed May 17, 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 (tloen/alpaca-lora) · observed Aug 3, 2026
- GitHub forks (tloen/alpaca-lora) · observed Aug 3, 2026
- Last push (tloen/alpaca-lora) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: SAM-Adapter-PyTorch 1.5k · alpaca-lora 19k (synced Jul 24, 2026).
Common questions
- What is the difference between SAM-Adapter-PyTorch and alpaca-lora?
- SAM-Adapter-PyTorch: Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts. alpaca-lora: Instruct-tune LLaMA on consumer hardware. See the comparison table for live GitHub stats and shared categories.
- When should I choose SAM-Adapter-PyTorch over alpaca-lora?
- Choose SAM-Adapter-PyTorch over alpaca-lora when SAM-Adapter-PyTorch is primarily Python; alpaca-lora is Jupyter Notebook; License: SAM-Adapter-PyTorch is MIT, alpaca-lora is Apache-2.0; Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection; Also covers Computer Vision; Need to adapt SAM to specific tasks like detecting camouflaged objects.
- When should I choose alpaca-lora over SAM-Adapter-PyTorch?
- Choose alpaca-lora over SAM-Adapter-PyTorch when alpaca-lora is primarily Jupyter Notebook; SAM-Adapter-PyTorch is Python; License: alpaca-lora is Apache-2.0, SAM-Adapter-PyTorch is MIT; 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, llama; 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 SAM-Adapter-PyTorch?
- Looking for a toolset that primarily focuses on training from scratch rather than adapting pre-trained models Interested in frameworks other than PyTorch
- 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 SAM-Adapter-PyTorch or alpaca-lora more popular on GitHub?
- alpaca-lora has more GitHub stars (18,912 vs 1,544). Stars measure visibility, not whether either tool fits your constraints.
- Are SAM-Adapter-PyTorch and alpaca-lora open source?
- Yes - both are open-source projects on GitHub (SAM-Adapter-PyTorch: MIT, alpaca-lora: Apache-2.0).
- Where can I find alternatives to SAM-Adapter-PyTorch or alpaca-lora?
- GraphCanon lists graph-backed alternatives at SAM-Adapter-PyTorch alternatives and alpaca-lora alternatives (SAM-Adapter-PyTorch 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, SAM-Adapter-PyTorch or alpaca-lora?
- SAM-Adapter-PyTorch: Steady. 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 SAM-Adapter-PyTorch and alpaca-lora?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SAM-Adapter-PyTorch trust report; alpaca-lora trust report.