Comparison
ColossalAI vs codellama
Verdict
Pick ColossalAI when license: ColossalAI is Apache-2.0, codellama is Other; pick codellama when license: codellama is Other, ColossalAI is Apache-2.0.
Markdown twin · ColossalAI alternatives · codellama alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ColossalAI | codellama |
|---|---|---|
| Maintenance | Steady (46d since push) As of today · github_public_v1 | Archived (698d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- ColossalAI
- Making large AI models cheaper, faster and more accessible
- codellama
- Inference code for CodeLlama models
Stars
- ColossalAI
- 41k
- codellama
- 16k
Forks
- ColossalAI
- 4.5k
- codellama
- 1.9k
Open issues
- ColossalAI
- 501
- codellama
- 116
Language
- ColossalAI
- Python
- codellama
- Python
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.
- codellama
- -
Persona
- ColossalAI
- -
- codellama
- -
Runtime
- ColossalAI
- -
- codellama
- -
License
- ColossalAI
- Apache-2.0
- codellama
- Other
Last pushed
- ColossalAI
- May 25, 2026
- codellama
- Aug 12, 2024
Categories
- ColossalAI
- Model Training, Inference & Serving
- codellama
- Inference & Serving
Trust and health
Maintenance
- ColossalAI
- Steady (60%)
- codellama
- Archived (8%)
Days since push
- ColossalAI
- 46d
- codellama
- 698d
Archived on GitHub
- ColossalAI
- No
- codellama
- Yes
Open issues (now)
- ColossalAI
- 501
- codellama
- 116
Security scan
- ColossalAI
- No lockfile
- codellama
- No criticals
Full report
- ColossalAI
- Trust report
- codellama
- Trust report
Choose ColossalAI if…
- License: ColossalAI is Apache-2.0, codellama is Other.
- Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training.
- Also covers Model 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 codellama if…
- License: codellama is Other, ColossalAI is Apache-2.0.
- Tags unique to codellama: python.
- Leaner open-issue backlog (116).
When NOT to use codellama
- codellama is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- 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 (meta-llama/codellama) · observed Jul 11, 2026
- GitHub forks (meta-llama/codellama) · observed Jul 11, 2026
- Last push (meta-llama/codellama) · observed Aug 12, 2024
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ColossalAI 41k · codellama 16k (synced Jul 11, 2026).
Common questions
- What is the difference between ColossalAI and codellama?
- ColossalAI: Making large AI models cheaper, faster and more accessible. codellama: Inference code for CodeLlama models. See the comparison table for live GitHub stats and shared categories.
- When should I choose ColossalAI over codellama?
- Choose ColossalAI over codellama when License: ColossalAI is Apache-2.0, codellama is Other; Tags unique to ColossalAI: deep-learning, ai, big-model, heterogeneous-training; Also covers Model Training; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- When should I choose codellama over ColossalAI?
- Choose codellama over ColossalAI when License: codellama is Other, ColossalAI is Apache-2.0; Tags unique to codellama: python; Leaner open-issue backlog (116).
- 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 codellama?
- codellama is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is ColossalAI or codellama more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 16,298). Stars measure visibility, not whether either tool fits your constraints.
- Are ColossalAI and codellama open source?
- Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, codellama: Other).
- Where can I find alternatives to ColossalAI or codellama?
- GraphCanon lists graph-backed alternatives at ColossalAI alternatives and codellama alternatives (ColossalAI markdown twin, codellama 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 codellama?
- ColossalAI: Steady. codellama: Archived. 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 codellama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ColossalAI trust report; codellama trust report.