Comparison
align-anything vs alpaca-lora
Verdict
Pick align-anything if align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO; 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 · align-anything alternatives · alpaca-lora alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | align-anything | alpaca-lora |
|---|---|---|
| Maintenance | Slowing (263d since push) As of 2d · github_public_v1 | Dormant (734d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · 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
- align-anything
- Training All-modality Model with Feedback
- alpaca-lora
- Instruct-tune LLaMA on consumer hardware
Stars
- align-anything
- 4.7k
- alpaca-lora
- 19k
Forks
- align-anything
- 505
- alpaca-lora
- 2.2k
Open issues
- align-anything
- 32
- alpaca-lora
- 365
Language
- align-anything
- Python
- alpaca-lora
- Jupyter Notebook
Adopt for
- align-anything
- Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO.
- alpaca-lora
- alpaca-lora is an instruct tuning repository for the LLaMA model designed to work with consumer-grade hardware through Docker integration.
Persona
- align-anything
- -
- alpaca-lora
- developer harness
Runtime
- align-anything
- -
- alpaca-lora
- -
License
- align-anything
- This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved.
- 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
- align-anything
- Nov 27, 2025
- alpaca-lora
- Jul 29, 2024
Categories
- align-anything
- LLM Frameworks, Model Training
- alpaca-lora
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- align-anything
- Slowing (36%)
- alpaca-lora
- Dormant (18%)
Days since push
- align-anything
- 263d
- alpaca-lora
- 734d
Open issues (now)
- align-anything
- 32
- alpaca-lora
- 365
Stars delta
- align-anything
- +4 (30d)
- alpaca-lora
- Unknown
Open issues delta
- align-anything
- 0 (30d)
- alpaca-lora
- Unknown
Owner type
- align-anything
- Organization
- alpaca-lora
- User
OSV dependency advisories
- align-anything
- No lockfile (source not queried)
- alpaca-lora
- Published findings
Full report
- align-anything
- Trust report
- alpaca-lora
- Trust report
Choose align-anything if…
- align-anything is primarily Python; alpaca-lora is Jupyter Notebook.
- Requirements: Python execution environment.
- Tags unique to align-anything: chameleon, dpo, large language models, multimodal.
- - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
When NOT to use align-anything
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO.
- - For projects that do not require support for multiple data modalities.
Choose alpaca-lora if…
- alpaca-lora is primarily Jupyter Notebook; align-anything is Python.
- 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.
- 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 (PKU-Alignment/align-anything) · observed Aug 17, 2026
- GitHub forks (PKU-Alignment/align-anything) · observed Aug 17, 2026
- Last push (PKU-Alignment/align-anything) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Aug 17, 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: align-anything 4.7k · alpaca-lora 19k (synced Aug 17, 2026).
Common questions
- What is the difference between align-anything and alpaca-lora?
- align-anything: Training All-modality Model with Feedback. alpaca-lora: Instruct-tune LLaMA on consumer hardware. See the comparison table for live GitHub stats and shared categories.
- When should I choose align-anything over alpaca-lora?
- Choose align-anything over alpaca-lora when align-anything is primarily Python; alpaca-lora is Jupyter Notebook; Requirements: Python execution environment; Tags unique to align-anything: chameleon, dpo, large language models, multimodal; - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
- When should I choose alpaca-lora over align-anything?
- Choose alpaca-lora over align-anything when alpaca-lora is primarily Jupyter Notebook; align-anything is Python; 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; 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 align-anything?
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - For projects that do not require support for multiple data modalities.
- 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 align-anything or alpaca-lora more popular on GitHub?
- alpaca-lora has more GitHub stars (18,912 vs 4,666). Stars measure visibility, not whether either tool fits your constraints.
- Are align-anything and alpaca-lora open source?
- Yes - both are open-source projects on GitHub (align-anything: Apache-2.0, alpaca-lora: Apache-2.0).
- Where can I find alternatives to align-anything or alpaca-lora?
- GraphCanon lists graph-backed alternatives at align-anything alternatives and alpaca-lora alternatives (align-anything 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, align-anything or alpaca-lora?
- align-anything: Slowing. 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 align-anything and alpaca-lora?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: align-anything trust report; alpaca-lora trust report.