Comparison
DeepSpeed-MII vs airllm
Verdict
Pick DeepSpeed-MII when deepSpeed-MII is primarily Python; airllm is Jupyter Notebook; pick airllm when airllm is primarily Jupyter Notebook; DeepSpeed-MII is Python.
Markdown twin · DeepSpeed-MII alternatives · airllm alternatives
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Trust & integrity
| Signal | DeepSpeed-MII | airllm |
|---|---|---|
| Maintenance | Dormant (375d since push) As of 1d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | 4 low (4 low) As of 2d · osv@v1 |
Tagline
- DeepSpeed-MII
- Low-latency and high-throughput inference for deep learning models
- airllm
- AirLLM 70B inference with single 4GB GPU
Stars
- DeepSpeed-MII
- 2.1k
- airllm
- 22k
Forks
- DeepSpeed-MII
- 191
- airllm
- 2.6k
Open issues
- DeepSpeed-MII
- 209
- airllm
- 106
Language
- DeepSpeed-MII
- Python
- airllm
- Jupyter Notebook
Adopt for
- DeepSpeed-MII
- -
- airllm
- AirLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU.
Persona
- DeepSpeed-MII
- -
- airllm
- -
Runtime
- DeepSpeed-MII
- -
- airllm
- -
License
- DeepSpeed-MII
- Apache-2.0
- airllm
- Apache-2.0
Last pushed
- DeepSpeed-MII
- Jun 30, 2025
- airllm
- Jul 11, 2026
Categories
- DeepSpeed-MII
- Inference & Serving
- airllm
- Inference & Serving
Trust and health
Maintenance
- DeepSpeed-MII
- Dormant (18%)
- airllm
- Very active (96%)
Days since push
- DeepSpeed-MII
- 375d
- airllm
- 0d
Open issues (now)
- DeepSpeed-MII
- 209
- airllm
- 106
Owner type
- DeepSpeed-MII
- Organization
- airllm
- User
Security scan
- DeepSpeed-MII
- No lockfile
- airllm
- 4 low (4 low)
Full report
- DeepSpeed-MII
- Trust report
- airllm
- Trust report
Choose DeepSpeed-MII if…
- DeepSpeed-MII is primarily Python; airllm is Jupyter Notebook.
- Tags unique to DeepSpeed-MII: deep-learning, inference, pytorch.
When NOT to use DeepSpeed-MII
- Last GitHub push was 376 days ago (dormant maintenance, Jun 30, 2025). Validate activity before betting a new project on DeepSpeed-MII.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose airllm if…
- airllm is primarily Jupyter Notebook; DeepSpeed-MII is Python.
- 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: chinese llm, chinese-nlp, finetune, generative-ai.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepspeedai/DeepSpeed-MII) · observed Jul 11, 2026
- GitHub forks (deepspeedai/DeepSpeed-MII) · observed Jul 11, 2026
- Last push (deepspeedai/DeepSpeed-MII) · observed Jun 30, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lyogavin/airllm) · observed Jul 11, 2026
- GitHub forks (lyogavin/airllm) · observed Jul 11, 2026
- Last push (lyogavin/airllm) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 9, 2026
GitHub stars on cards: DeepSpeed-MII 2.1k · airllm 22k (synced Jul 11, 2026).
Common questions
- What is the difference between DeepSpeed-MII and airllm?
- DeepSpeed-MII: Low-latency and high-throughput inference for deep learning models. airllm: AirLLM 70B inference with single 4GB GPU. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed-MII over airllm?
- Choose DeepSpeed-MII over airllm when DeepSpeed-MII is primarily Python; airllm is Jupyter Notebook; Tags unique to DeepSpeed-MII: deep-learning, inference, pytorch.
- When should I choose airllm over DeepSpeed-MII?
- Choose airllm over DeepSpeed-MII when airllm is primarily Jupyter Notebook; DeepSpeed-MII is Python; 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: chinese llm, chinese-nlp, finetune, generative-ai; 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 avoid DeepSpeed-MII?
- Last GitHub push was 376 days ago (dormant maintenance, Jun 30, 2025). Validate activity before betting a new project on DeepSpeed-MII. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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.
- Is DeepSpeed-MII or airllm more popular on GitHub?
- airllm has more GitHub stars (22,399 vs 2,109). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed-MII and airllm open source?
- Yes - both are open-source projects on GitHub (DeepSpeed-MII: Apache-2.0, airllm: Apache-2.0).
- Where can I find alternatives to DeepSpeed-MII or airllm?
- GraphCanon lists graph-backed alternatives at DeepSpeed-MII alternatives and airllm alternatives (DeepSpeed-MII markdown twin, airllm 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, DeepSpeed-MII or airllm?
- DeepSpeed-MII: Dormant. airllm: 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 DeepSpeed-MII and airllm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed-MII trust report; airllm trust report.