Home/Compare/dolly vs transformers

Comparison

dolly vs transformers

Verdict

Pick dolly when tags unique to dolly: databricks, gpt, chatbot, dolly; pick transformers when requirements: Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+.

Markdown twin · dolly alternatives · transformers alternatives

GraphCanon updated today

dolly logo

dolly

databrickslabs/dolly

11kpushed Jun 30, 2023
vs
transformers logo

transformers

huggingface/transformers

162kpushed Jul 11, 2026

Trust & integrity

Signaldollytransformers
Maintenance
Dormant (1107d since push)
As of today · github_public_v1
Very active (0d 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)
69 low (69 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
transformers
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models

Stars

dolly
11k
transformers
162k

Forks

dolly
1.1k
transformers
34k

Open issues

dolly
6
transformers
2.5k

Language

dolly
Python
transformers
Python

Adopt for

dolly
-
transformers
Transformers is a versatile library for training and deploying state-of-the-art models across various domains such as NLP, computer vision, speech recognition, and multi-modal tasks. It supports PyTorch 2.4+ and Python 3

Persona

dolly
-
transformers
-

Runtime

dolly
-
transformers
-

License

dolly
Apache-2.0
transformers
Transformers is distributed under the Apache-2.0 license, ensuring wide permissions for use in both open-source and proprietary systems.

Last pushed

dolly
Jun 30, 2023
transformers
Jul 11, 2026

Categories

dolly
LLM Frameworks, Model Training, Inference & Serving
transformers
Model Training, LLM Frameworks, Speech & Audio, Computer Vision, Inference & Serving

Trust and health

Maintenance

dolly
Dormant (18%)
transformers
Very active (96%)

Days since push

dolly
1107d
transformers
0d

Open issues (now)

dolly
6
transformers
2.5k

Security scan

dolly
69 low (69 low)
transformers
No lockfile

Full report

transformers
Trust report

Choose dolly if…

  • Tags unique to dolly: databricks, gpt, chatbot, dolly.
  • Leaner open-issue backlog (6).

When NOT to use dolly

  • Last GitHub push was 1107 days ago (dormant maintenance, Jun 30, 2023). Validate activity before betting a new project on dolly.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • 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.

Choose transformers if…

  • Requirements: Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+.
  • Tags unique to transformers: pretrained models, deep-learning, machine-learning, natural-language-processing.
  • Also covers Speech & Audio, Computer Vision.
  • The library excels in scenarios where you need highly optimized and pre-trained models available for a wide range of data types including text, vision, audio, and multimodal inputs.

When NOT to use transformers

  • If the specific task or dataset size does not benefit from state-of-the-art models due to computational inefficiency or overfitting, alternatives may be more suitable.
  • It might not be the best choice for projects that strictly require compatibility with frameworks other than PyTorch and Python versions older than 3.10.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dolly 11k · transformers 162k (synced Jul 11, 2026).

Common questions

What is the difference between dolly and transformers?
dolly: Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform. transformers: Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models. See the comparison table for live GitHub stats and shared categories.
When should I choose dolly over transformers?
Choose dolly over transformers when Tags unique to dolly: databricks, gpt, chatbot, dolly; Leaner open-issue backlog (6).
When should I choose transformers over dolly?
Choose transformers over dolly when Requirements: Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+; Tags unique to transformers: pretrained models, deep-learning, machine-learning, natural-language-processing; Also covers Speech & Audio, Computer Vision; The library excels in scenarios where you need highly optimized and pre-trained models available for a wide range of data types including text, vision, audio, and multimodal inputs.
When should I avoid dolly?
Last GitHub push was 1107 days ago (dormant maintenance, Jun 30, 2023). Validate activity before betting a new project on dolly. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
When should I avoid transformers?
If the specific task or dataset size does not benefit from state-of-the-art models due to computational inefficiency or overfitting, alternatives may be more suitable. It might not be the best choice for projects that strictly require compatibility with frameworks other than PyTorch and Python versions older than 3.10.
Is dolly or transformers more popular on GitHub?
transformers has more GitHub stars (162,482 vs 10,802). Stars measure visibility, not whether either tool fits your constraints.
Are dolly and transformers open source?
Yes - both are open-source projects on GitHub (dolly: Apache-2.0, transformers: Apache-2.0).
Where can I find alternatives to dolly or transformers?
GraphCanon lists graph-backed alternatives at dolly alternatives and transformers alternatives (dolly markdown twin, transformers 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, dolly or transformers?
dolly: Dormant. transformers: 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 dolly and transformers?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dolly trust report; transformers trust report.