Home/Compare/dolly vs ollama

Comparison

dolly vs ollama

Verdict

Pick dolly if dolly is a large language model from Databricks, designed for both inference and training on the Databricks Machine Learning Platform. It is accessible via Hugging Face and requires specific GPU configurations for full-f; 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.

Markdown twin · dolly alternatives · ollama alternatives

GraphCanon updated Sep 30, 2026

8views this month

dolly logo

dolly

databrickslabs/dolly

★ 11kpushed Jun 30, 2023
vs
ollama logo

ollama

ollama/ollama

★ 181kpushed Sep 17, 2026

Trust & integrity

Signaldollyollama
Maintenance
Dormant (1175d 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 · Organization 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

dolly
Databricks' Dolly, a large language model trained on the Databricks Machine Learning Platform
ollama
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Stars

dolly
11k
ollama
181k

Forks

dolly
1.1k
ollama
18k

Open issues

dolly
5
ollama
4.0k

Language

dolly
Python
ollama
Go

Adopt for

dolly
Dolly is a large language model from Databricks, designed for both inference and training on the Databricks Machine Learning Platform. It is accessible via Hugging Face and requires specific GPU configurations for full-f
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

dolly
-
ollama
-

Runtime

dolly
-
ollama
-

License

dolly
Dolly is licensed under the Apache-2.0 license, which is permissive and allows for free use, modification, and distribution of the software.
ollama
MIT

Last pushed

dolly
Jun 30, 2023
ollama
Sep 17, 2026

Categories

dolly
Inference & Serving, LLM Frameworks
ollama
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

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

Days since push

dolly
1175d
ollama
0d

Open issues (now)

dolly
5
ollama
4.0k

Stars delta

dolly
+3 (30d)
ollama
+3.7k (30d)

Open issues delta

dolly
-1 (30d)
ollama
+451 (30d)

deps.dev advisories

dolly
Not queried
ollama
Published findings

OpenSSF Scorecard

dolly
Not queried
ollama
No public record from this source

Full report

Choose dolly if…

  • dolly is primarily Python; ollama is Go.
  • License: dolly is Apache-2.0, ollama is MIT.
  • Requirements: Requires A100 GPUs for optimal performance.; Integration with the Databricks Machine Learning Platform is necessary for full functionality..
  • Tags unique to dolly: chatbot, databricks, dolly, gpt.
  • When you need a language model that integrates seamlessly with the Databricks Machine Learning Platform for both training and inference.

When NOT to use dolly

  • If your infrastructure does not support A100 GPUs or if you are unable to provision the required instance types in your region.
  • When you prefer not to use the Databricks Machine Learning Platform for your model training and inference needs.
  • If your project requires a model that is not licensed under Apache-2.0.

Choose ollama if…

  • ollama is primarily Go; dolly is Python.
  • License: ollama is MIT, dolly is Apache-2.0.
  • 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 on cards: dolly 11k · ollama 181k (synced Sep 20, 2026).

Common questions

What is the difference between dolly and ollama?
dolly: Databricks' Dolly, a large language model trained on the Databricks Machine Learning Platform. 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 dolly over ollama?
Choose dolly over ollama when dolly is primarily Python; ollama is Go; License: dolly is Apache-2.0, ollama is MIT; Requirements: Requires A100 GPUs for optimal performance.; Integration with the Databricks Machine Learning Platform is necessary for full functionality.; Tags unique to dolly: chatbot, databricks, dolly, gpt; When you need a language model that integrates seamlessly with the Databricks Machine Learning Platform for both training and inference.
When should I choose ollama over dolly?
Choose ollama over dolly when ollama is primarily Go; dolly is Python; License: ollama is MIT, dolly is Apache-2.0; 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 dolly?
If your infrastructure does not support A100 GPUs or if you are unable to provision the required instance types in your region. When you prefer not to use the Databricks Machine Learning Platform for your model training and inference needs. If your project requires a model that is not licensed under Apache-2.0.
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 dolly or ollama more popular on GitHub?
ollama has more GitHub stars (181,196 vs 10,808). Stars measure visibility, not whether either tool fits your constraints.
Are dolly and ollama open source?
Yes - both are open-source projects on GitHub (dolly: Apache-2.0, ollama: MIT).
Where can I find alternatives to dolly or ollama?
GraphCanon lists graph-backed alternatives at dolly alternatives and ollama alternatives (dolly 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, dolly or ollama?
dolly: Dormant. 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 dolly and ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dolly trust report; ollama trust report.

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