--- title: "dolly vs gpt4all" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/databrickslabs-dolly-vs-nomic-ai-gpt4all" tools: ["databrickslabs-dolly", "nomic-ai-gpt4all"] --- # dolly vs gpt4all *GraphCanon updated Jul 12, 2026* ## Verdict Pick dolly when dolly is primarily Python; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; dolly is Python. [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. [gpt4all](https://nomic.ai/gpt4all) has 77k stars, 8.3k forks, and 768 open issues, last pushed May 27, 2025. Figures are from public GitHub metadata via [dolly's repository](https://github.com/databrickslabs/dolly) and [gpt4all's repository](https://github.com/nomic-ai/gpt4all). | | [dolly](/tools/databrickslabs-dolly.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Tagline | Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform | Run Local LLMs on Any Device | | Stars | 10,802 | 77,386 | | Forks | 1,138 | 8,304 | | Open issues | 6 | 768 | | Language | Python | C++ | | Adopt for | - | GPT4All is an open-source project designed to facilitate the local deployment of large language models (LLMs). It supports commercial usage with a permissive MIT license and is implemented in C++. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dolly](/tools/databrickslabs-dolly.md) | [gpt4all](/tools/nomic-ai-gpt4all.md) | | --- | --- | --- | | Days since push | 1107d | 409d | | Open issues (now) | 6 | 768 | | Security scan | 69 low (69 low) | No lockfile | | Full report | [trust report](/tools/databrickslabs-dolly/trust.md) | [trust report](/tools/nomic-ai-gpt4all/trust.md) | ## Decision facts: gpt4all - **Adopt for:** GPT4All is an open-source project designed to facilitate the local deployment of large language models (LLMs). It supports commercial usage with a permissive MIT license and is implemented in C++. ## Choose when ### Choose dolly if… - dolly is primarily Python; gpt4all is C++. - License: dolly is Apache-2.0, gpt4all is MIT. - Tags unique to dolly: chatbot, databricks, dolly, gpt. - Also covers Model Training. ### Choose gpt4all if… - gpt4all is primarily C++; dolly is Python. - License: gpt4all is MIT, dolly is Apache-2.0. - Tags unique to gpt4all: ai-chat, llm-inference. - - When you require on-device inference capabilities without reliance on cloud services. ## 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. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - 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. ## When NOT to use gpt4all - - In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation. - - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments. ## Common questions ### What is the difference between dolly and gpt4all? dolly: Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform. gpt4all: Run Local LLMs on Any Device. See the comparison table for live GitHub stats and shared categories. ### When should I choose dolly over gpt4all? Choose dolly over gpt4all when dolly is primarily Python; gpt4all is C++; License: dolly is Apache-2.0, gpt4all is MIT; Tags unique to dolly: chatbot, databricks, dolly, gpt; Also covers Model Training. ### When should I choose gpt4all over dolly? Choose gpt4all over dolly when gpt4all is primarily C++; dolly is Python; License: gpt4all is MIT, dolly is Apache-2.0; Tags unique to gpt4all: ai-chat, llm-inference; - When you require on-device inference capabilities without reliance on cloud services. ### 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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. ### When should I avoid gpt4all? - In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation. - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments. ### Is dolly or gpt4all more popular on GitHub? gpt4all has more GitHub stars (77,386 vs 10,802). Stars measure visibility, not whether either tool fits your constraints. ### Are dolly and gpt4all open source? Yes - both are open-source projects on GitHub (dolly: Apache-2.0, gpt4all: MIT). ### Where can I find alternatives to dolly or gpt4all? GraphCanon lists graph-backed alternatives at [dolly alternatives](/tools/databrickslabs-dolly/alternatives) and [gpt4all alternatives](/tools/nomic-ai-gpt4all/alternatives) ([dolly markdown twin](/tools/databrickslabs-dolly/alternatives.md), [gpt4all markdown twin](/tools/nomic-ai-gpt4all/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-nomic-ai-gpt4all.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dolly or gpt4all? dolly: Dormant. gpt4all: Dormant. 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 gpt4all? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dolly trust report](/tools/databrickslabs-dolly/trust); [gpt4all trust report](/tools/nomic-ai-gpt4all/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/_