Comparison
airllm vs ollama
Verdict
Pick airllm if airLLM is a repository that enables the inference of a 70B parameter model using a single 4GB GPU, with a focus on Chinese language models and generative AI; pick ollama if ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma.
Markdown twin · airllm alternatives · ollama alternatives
GraphCanon updated Sep 30, 2026
25views this month
Trust & integrity
| Signal | airllm | ollama |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Published findings As of Aug 9, 2026 · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of Aug 2, 2026 · openssf-scorecard@v1 |
Tagline
- airllm
- Inference for AirLLM 70B model with single 4GB GPU
- ollama
- Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Stars
- airllm
- 35k
- ollama
- 181k
Forks
- airllm
- 3.6k
- ollama
- 18k
Open issues
- airllm
- 155
- ollama
- 4.0k
Language
- airllm
- Jupyter Notebook
- ollama
- Go
Adopt for
- airllm
- AirLLM is a repository that enables the inference of a 70B parameter model using a single 4GB GPU, with a focus on Chinese language models and generative AI.
- ollama
- Ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma.
Persona
- airllm
- -
- ollama
- -
Runtime
- airllm
- -
- ollama
- -
License
- airllm
- Apache-2.0
- ollama
- MIT
Last pushed
- airllm
- Sep 18, 2026
- ollama
- Sep 17, 2026
Categories
- airllm
- Inference & Serving, LLM Frameworks
- ollama
- Inference & Serving, LLM Frameworks
Trust and health
Open issues (now)
- airllm
- 155
- ollama
- 4.0k
Stars delta
- airllm
- +10k (30d)
- ollama
- +3.7k (30d)
Open issues delta
- airllm
- +40 (30d)
- ollama
- +451 (30d)
Owner type
- airllm
- User
- ollama
- Organization
deps.dev advisories
- airllm
- Not queried
- ollama
- Published findings
OpenSSF Scorecard
- airllm
- Not queried
- ollama
- No public record from this source
Full report
- airllm
- Trust report
- ollama
- Trust report
Typed relationship
airllm alternative ollamaBoth AirLLM and ollama are tools designed for efficient LLM inference, though they may have different technical underpinnings or target use cases.
Shared compatibility
- Python · airllm: Python runtime · ollama: Python runtime
Choose airllm if…
- airllm is primarily Jupyter Notebook; ollama is Go.
- License: airllm is Apache-2.0, ollama is MIT.
- Requirements: Min 4 GB RAM; Installation is straightforward via pip..
- Both AirLLM and ollama are tools designed for efficient LLM inference, though they may have different technical underpinnings or target use cases.
- Tags unique to airllm: chinese-llm, chinese-nlp, finetune, generative-ai.
- When you need to perform inference on a 70B parameter model with limited GPU resources, such as a single 4GB GPU.
When NOT to use airllm
- If your project requires inference on models larger than 70B parameters or if you have access to more powerful GPUs than a 4GB model.
- For projects that do not involve Chinese language models or generative AI tasks, as AirLLM is specifically optimized for these areas.
Choose ollama if…
- ollama is primarily Go; airllm is Jupyter Notebook.
- License: ollama is MIT, airllm is Apache-2.0.
- Both AirLLM and ollama are tools designed for efficient LLM inference, though they may have different technical underpinnings or target use cases.
- Tags unique to ollama: deepseek, gemma, glm, go.
- ollama ships Docker support for self-hosted deployment.
- When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.
When NOT to use ollama
- If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack.
- When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lyogavin/airllm) · observed Sep 20, 2026
- GitHub forks (lyogavin/airllm) · observed Sep 20, 2026
- Last push (lyogavin/airllm) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (ollama/ollama) · observed Sep 20, 2026
- GitHub forks (ollama/ollama) · observed Sep 20, 2026
- Last push (ollama/ollama) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: airllm 35k · ollama 181k (synced Sep 20, 2026).
Common questions
- What is the difference between airllm and ollama?
- airllm: Inference for AirLLM 70B model with single 4GB GPU. ollama: Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose airllm over ollama?
- Choose airllm over ollama when airllm is primarily Jupyter Notebook; ollama is Go; License: airllm is Apache-2.0, ollama is MIT; Requirements: Min 4 GB RAM; Installation is straightforward via pip.; Both AirLLM and ollama are tools designed for efficient LLM inference, though they may have different technical underpinnings or target use cases; Tags unique to airllm: chinese-llm, chinese-nlp, finetune, generative-ai; When you need to perform inference on a 70B parameter model with limited GPU resources, such as a single 4GB GPU.
- When should I choose ollama over airllm?
- Choose ollama over airllm when ollama is primarily Go; airllm is Jupyter Notebook; License: ollama is MIT, airllm is Apache-2.0; Both AirLLM and ollama are tools designed for efficient LLM inference, though they may have different technical underpinnings or target use cases; Tags unique to ollama: deepseek, gemma, glm, go; ollama ships Docker support for self-hosted deployment; When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.
- When should I avoid airllm?
- If your project requires inference on models larger than 70B parameters or if you have access to more powerful GPUs than a 4GB model. For projects that do not involve Chinese language models or generative AI tasks, as AirLLM is specifically optimized for these areas.
- When should I avoid ollama?
- If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack. When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
- Is airllm or ollama more popular on GitHub?
- ollama has more GitHub stars (181,196 vs 34,504). Stars measure visibility, not whether either tool fits your constraints.
- Are airllm and ollama open source?
- Yes - both are open-source projects on GitHub (airllm: Apache-2.0, ollama: MIT).
- Where can I find alternatives to airllm or ollama?
- GraphCanon lists graph-backed alternatives at airllm alternatives and ollama alternatives (airllm markdown twin, ollama 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 ollama?
- airllm: Very active. ollama: Very active. 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 ollama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airllm trust report; ollama trust report.