Home/Compare/airllm vs codellama

Comparison

airllm vs codellama

Verdict

Pick airllm when airllm is primarily Jupyter Notebook; codellama is Python; pick codellama when codellama is primarily Python; airllm is Jupyter Notebook.

Markdown twin · airllm alternatives · codellama alternatives

GraphCanon updated today

airllm logo

airllm

lyogavin/airllm

22kpushed Jul 11, 2026
vs
codellama logo

codellama

meta-llama/codellama

16kpushed Aug 12, 2024

Trust & integrity

Signalairllmcodellama
Maintenance
Very active (0d since push)
As of today · github_public_v1
Archived (698d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
4 low (4 low)
As of 2d · osv@v1
No criticals
As of today · osv@v1

Tagline

airllm
AirLLM 70B inference with single 4GB GPU
codellama
Inference code for CodeLlama models

Stars

airllm
22k
codellama
16k

Forks

airllm
2.6k
codellama
1.9k

Open issues

airllm
106
codellama
116

Language

airllm
Jupyter Notebook
codellama
Python

Adopt for

airllm
AirLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU.
codellama
-

Persona

airllm
-
codellama
-

Runtime

airllm
-
codellama
-

License

airllm
Apache-2.0
codellama
Other

Last pushed

airllm
Jul 11, 2026
codellama
Aug 12, 2024

Categories

airllm
Inference & Serving
codellama
Inference & Serving

Trust and health

Maintenance

airllm
Very active (96%)
codellama
Archived (8%)

Days since push

airllm
0d
codellama
698d

Archived on GitHub

airllm
No
codellama
Yes

Open issues (now)

airllm
106
codellama
116

Owner type

airllm
User
codellama
Organization

Security scan

airllm
4 low (4 low)
codellama
No criticals

Full report

codellama
Trust report

Choose airllm if…

  • airllm is primarily Jupyter Notebook; codellama is Python.
  • License: airllm is Apache-2.0, codellama is Other.
  • Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply..
  • Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences..
  • Tags unique to airllm: llama, chinese llm, llm, instruct-gpt.
  • If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.

When NOT to use airllm

  • Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency.
  • Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.

Choose codellama if…

  • codellama is primarily Python; airllm is Jupyter Notebook.
  • License: codellama is Other, airllm is Apache-2.0.
  • Tags unique to codellama: python.

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 on cards: airllm 22k · codellama 16k (synced Jul 11, 2026).

Common questions

What is the difference between airllm and codellama?
airllm: AirLLM 70B inference with single 4GB GPU. codellama: Inference code for CodeLlama models. See the comparison table for live GitHub stats and shared categories.
When should I choose airllm over codellama?
Choose airllm over codellama when airllm is primarily Jupyter Notebook; codellama is Python; License: airllm is Apache-2.0, codellama is Other; Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply.; Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences.; Tags unique to airllm: llama, chinese llm, llm, instruct-gpt; If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
When should I choose codellama over airllm?
Choose codellama over airllm when codellama is primarily Python; airllm is Jupyter Notebook; License: codellama is Other, airllm is Apache-2.0; Tags unique to codellama: python.
When should I avoid airllm?
Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency. Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
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 airllm or codellama more popular on GitHub?
airllm has more GitHub stars (22,399 vs 16,298). Stars measure visibility, not whether either tool fits your constraints.
Are airllm and codellama open source?
Yes - both are open-source projects on GitHub (airllm: Apache-2.0, codellama: Other).
Where can I find alternatives to airllm or codellama?
GraphCanon lists graph-backed alternatives at airllm alternatives and codellama alternatives (airllm 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, airllm or codellama?
airllm: Very active. 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 airllm and codellama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airllm trust report; codellama trust report.