--- title: "dolly vs ollama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/databrickslabs-dolly-vs-ollama-ollama" tools: ["databrickslabs-dolly", "ollama-ollama"] --- # dolly vs ollama *GraphCanon updated Aug 2, 2026* ## Verdict Pick dolly if dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform; pick ollama if ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers. [dolly](https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html) reports 11k GitHub stars, 1.1k forks, and 6 open issues, last pushed Jun 30, 2023. [ollama](https://ollama.com) has 178k stars, 17k forks, and 3.6k open issues, last pushed Jul 31, 2026. Figures are from public GitHub metadata via [dolly's repository](https://github.com/databrickslabs/dolly) and [ollama's repository](https://github.com/ollama/ollama). | | [dolly](/tools/databrickslabs-dolly.md) | [ollama](/tools/ollama-ollama.md) | | --- | --- | --- | | Tagline | Large language model for response generation and training | Get up and running with various large language models using Ollama. | | Stars | 10,805 | 177,524 | | Forks | 1,142 | 17,229 | | Open issues | 6 | 3,583 | | Language | Python | Go | | Adopt for | Dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform. | Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT license - permissive open-source licensing that allows for broad use of the tool. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dolly](/tools/databrickslabs-dolly.md) | [ollama](/tools/ollama-ollama.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1127d | 1d | | Open issues (now) | 6 | 3.6k | | Full report | [trust report](/tools/databrickslabs-dolly/trust.md) | [trust report](/tools/ollama-ollama/trust.md) | ## Decision facts: dolly - **Adopt for:** Dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform. ## Decision facts: ollama - **Hosting:** self hosted - Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers. - **Adopt for:** Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and - **License detail:** MIT license - permissive open-source licensing that allows for broad use of the tool. ## Choose when ### Choose dolly if… - dolly is primarily Python; ollama is Go. - License: dolly is Apache-2.0, ollama is MIT. - Tags unique to dolly: chatbot, databricks, dolly. - If your project requires a robust pre-trained model available via Hugging Face to quickly generate responses without extensive setup or training processes. ### Choose ollama if… - ollama is primarily Go; dolly is Python. - License: ollama is MIT, dolly is Apache-2.0. - Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers. - Tags unique to ollama: deepseek, gemma, glm, go. - ollama ships Docker support for self-hosted deployment. - Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or ## When NOT to use dolly - If your project requires a local deployment model that does not involve cloud-based tools, as Dolly's optimal use case involves integration with the Databricks platform. - In instances where immediate access to GPUs is constrained or expensive in your region, since Dolly training and inference are optimized for GPU processing environments. ## When NOT to use ollama - Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform. ## Common questions ### What is the difference between dolly and ollama? dolly: Large language model for response generation and training. ollama: Get up and running with various large language models using Ollama.. 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; Tags unique to dolly: chatbot, databricks, dolly; If your project requires a robust pre-trained model available via Hugging Face to quickly generate responses without extensive setup or training processes. ### 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; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: deepseek, gemma, glm, go; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or. ### When should I avoid dolly? If your project requires a local deployment model that does not involve cloud-based tools, as Dolly's optimal use case involves integration with the Databricks platform. In instances where immediate access to GPUs is constrained or expensive in your region, since Dolly training and inference are optimized for GPU processing environments. ### When should I avoid ollama? Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform. ### Is dolly or ollama more popular on GitHub? ollama has more GitHub stars (177,524 vs 10,805). 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](/tools/databrickslabs-dolly/alternatives) and [ollama alternatives](/tools/ollama-ollama/alternatives) ([dolly markdown twin](/tools/databrickslabs-dolly/alternatives.md), [ollama markdown twin](/tools/ollama-ollama/alternatives.md)), 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](/compare/databrickslabs-dolly-vs-ollama-ollama.md) 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](/tools/databrickslabs-dolly/trust); [ollama trust report](/tools/ollama-ollama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=databrickslabs-dolly`](/api/graphcanon/graph?tool=databrickslabs-dolly) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_