Comparison
dolly vs gpt4all
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 gpt4all if gPT4All is an open-source project designed to facilitate the local deployment of large language models (LLMs). It supports commercial usage with.
Markdown twin · dolly alternatives · gpt4all alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | dolly | gpt4all |
|---|---|---|
| Maintenance | Dormant (1175d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (479d since push) As of Sep 19, 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 19, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dolly
- Databricks' Dolly, a large language model trained on the Databricks Machine Learning Platform
- gpt4all
- Run Local LLMs on Any Device
Stars
- dolly
- 11k
- gpt4all
- 77k
Forks
- dolly
- 1.1k
- gpt4all
- 8.3k
Open issues
- dolly
- 5
- gpt4all
- 771
Language
- dolly
- Python
- gpt4all
- C++
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
- gpt4all
- 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
- dolly
- -
- gpt4all
- -
Runtime
- dolly
- -
- gpt4all
- -
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.
- gpt4all
- MIT
Last pushed
- dolly
- Jun 30, 2023
- gpt4all
- May 27, 2025
Categories
- dolly
- Inference & Serving, LLM Frameworks
- gpt4all
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- dolly
- 1175d
- gpt4all
- 479d
Open issues (now)
- dolly
- 5
- gpt4all
- 771
Stars delta
- dolly
- +3 (30d)
- gpt4all
- -6 (30d)
Open issues delta
- dolly
- -1 (30d)
- gpt4all
- -2 (30d)
OSV dependency advisories
- dolly
- Published findings
- gpt4all
- No lockfile (source not queried)
Full report
- dolly
- Trust report
- gpt4all
- Trust report
Choose dolly if…
- dolly is primarily Python; gpt4all is C++.
- License: dolly is Apache-2.0, gpt4all 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 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (databrickslabs/dolly) · observed Sep 20, 2026
- GitHub forks (databrickslabs/dolly) · observed Sep 20, 2026
- Last push (databrickslabs/dolly) · observed Jun 30, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (nomic-ai/gpt4all) · observed Sep 20, 2026
- GitHub forks (nomic-ai/gpt4all) · observed Sep 20, 2026
- Last push (nomic-ai/gpt4all) · observed May 27, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dolly 11k · gpt4all 77k (synced Sep 20, 2026).
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; 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 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?
- 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 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 (77,390 vs 10,808). 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 and gpt4all alternatives (dolly markdown twin, gpt4all 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 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; gpt4all trust report.