Comparison
ColossalAI vs alpaca-lora
Verdict
Pick ColossalAI when colossalAI is primarily Python; alpaca-lora is Jupyter Notebook; pick alpaca-lora when alpaca-lora is primarily Jupyter Notebook; ColossalAI is Python.
Markdown twin · ColossalAI alternatives · alpaca-lora alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ColossalAI | alpaca-lora |
|---|---|---|
| Maintenance | Steady (46d since push) As of today · github_public_v1 | Dormant (712d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 1 critical, 5 high, 12 medium, 28 low (1 critical, 5 high, 12 medium, 28 low) As of today · osv@v1 |
Tagline
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- alpaca-lora
- Instruct-tune LLaMA on consumer hardware
Stars
- ColossalAI
- 41k
- alpaca-lora
- 19k
Forks
- ColossalAI
- 4.5k
- alpaca-lora
- 2.2k
Open issues
- ColossalAI
- 501
- alpaca-lora
- 366
Language
- ColossalAI
- Python
- alpaca-lora
- Jupyter Notebook
Adopt for
- ColossalAI
- ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models.
- alpaca-lora
- -
Persona
- ColossalAI
- -
- alpaca-lora
- -
Runtime
- ColossalAI
- -
- alpaca-lora
- -
License
- ColossalAI
- Apache-2.0
- alpaca-lora
- Apache-2.0
Last pushed
- ColossalAI
- May 25, 2026
- alpaca-lora
- Jul 29, 2024
Categories
- ColossalAI
- Model Training, Inference & Serving
- alpaca-lora
- Model Training, Computer Vision, Inference & Serving
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- alpaca-lora
- Dormant (18%)
Days since push
- ColossalAI
- 46d
- alpaca-lora
- 712d
Open issues (now)
- ColossalAI
- 501
- alpaca-lora
- 366
Owner type
- ColossalAI
- Organization
- alpaca-lora
- User
Security scan
- ColossalAI
- No lockfile
- alpaca-lora
- 1 critical, 5 high, 12 medium, 28 low (1 critical, 5 high, 12 medium, 28 low)
Full report
- ColossalAI
- Trust report
- alpaca-lora
- Trust report
Choose ColossalAI if…
- ColossalAI is primarily Python; alpaca-lora is Jupyter Notebook.
- Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training.
- You require handling extremely large AI models with massive context windows, such as over 2M tokens.
When NOT to use ColossalAI
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems.
- Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series).
- You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
Choose alpaca-lora if…
- alpaca-lora is primarily Jupyter Notebook; ColossalAI is Python.
- Tags unique to alpaca-lora: jupyter notebook.
- Also covers Computer Vision.
- alpaca-lora ships Docker support for self-hosted deployment.
When NOT to use alpaca-lora
- Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hpcaitech/ColossalAI) · observed Jul 11, 2026
- GitHub forks (hpcaitech/ColossalAI) · observed Jul 11, 2026
- Last push (hpcaitech/ColossalAI) · observed May 25, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tloen/alpaca-lora) · observed Jul 11, 2026
- GitHub forks (tloen/alpaca-lora) · observed Jul 11, 2026
- Last push (tloen/alpaca-lora) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · alpaca-lora 19k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and alpaca-lora?
- ColossalAI: Making large AI models cheaper, faster and more accessible. alpaca-lora: Instruct-tune LLaMA on consumer hardware. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over alpaca-lora?
- Choose ColossalAI over alpaca-lora when ColossalAI is primarily Python; alpaca-lora is Jupyter Notebook; Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose alpaca-lora over ColossalAI?
- Choose alpaca-lora over ColossalAI when alpaca-lora is primarily Jupyter Notebook; ColossalAI is Python; Tags unique to alpaca-lora: jupyter notebook; Also covers Computer Vision; alpaca-lora ships Docker support for self-hosted deployment.
- When should I avoid ColossalAI?
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems. Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series). You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
- When should I avoid alpaca-lora?
- Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is ColossalAI or alpaca-lora more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 18,913). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and alpaca-lora open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, alpaca-lora: Apache-2.0).
- Where can I find alternatives to ColossalAI or alpaca-lora?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and alpaca-lora alternatives (ColossalAI 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, ColossalAI or alpaca-lora?
- ColossalAI: 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 ColossalAI and alpaca-lora?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; alpaca-lora trust report.