--- title: "octopack vs octo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-octopack-vs-octo-models-octo" tools: ["bigcode-project-octopack", "octo-models-octo"] --- # octopack vs octo *GraphCanon updated Oct 7, 2026* ## Verdict Pick octopack if octoPack is an instruction tuning code large language models repository providing detailed components for model training with data retrieval; pick octo if octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations. [octopack](https://arxiv.org/abs/2308.07124) reports 480 GitHub stars, 30 forks, and 14 open issues, last pushed Feb 5, 2025. [octo](https://octo-models.github.io/) has 1.8k stars, 280 forks, and 96 open issues, last pushed Jul 31, 2024. Figures are from public GitHub metadata via [octopack's repository](https://github.com/bigcode-project/octopack) and [octo's repository](https://github.com/octo-models/octo). | | [octopack](/tools/bigcode-project-octopack.md) | [octo](/tools/octo-models-octo.md) | | --- | --- | --- | | Tagline | OctoPack: Instruction Tuning Code Large Language Models | Transformer-based robot policy trained on 800k robot trajectories | | Stars | 480 | 1,778 | | Forks | 30 | 280 | | Open issues | 14 | 96 | | Language | Jupyter Notebook | Python | | Adopt for | OctoPack is an instruction tuning code large language models repository providing detailed components for model training with data retrieval. | Octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [octopack](/tools/bigcode-project-octopack.md) | [octo](/tools/octo-models-octo.md) | | --- | --- | --- | | Days since push | 608d | 779d | | Open issues (now) | 14 | 96 | | Stars delta | +1 (30d) | +56 (30d) | | Full report | [trust report](/tools/bigcode-project-octopack/trust.md) | [trust report](/tools/octo-models-octo/trust.md) | ## Decision facts: octopack - **Adopt for:** OctoPack is an instruction tuning code large language models repository providing detailed components for model training with data retrieval. ## Decision facts: octo - **Requirements:** Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required. - **Adopt for:** Octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations. ## Choose when ### Choose octopack if… - octopack is primarily Jupyter Notebook; octo is Python. - Tags unique to octopack: code-llm, dataset, evaluation, instruction-tuning. - Also covers Data & Retrieval. - When you need to fine-tune StarCoder or CodeGeeX2 on commit message datasets formatted as instructions ### Choose octo if… - octo is primarily Python; octopack is Jupyter Notebook. - Requirements: Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required.. - Tags unique to octo: finetuning, gpu, jax, robotics. - Use Octo when you need a transformer-based policy for robot control tasks that can leverage a large dataset of 800k robot trajectories. ## When NOT to use octopack - If your project does not require instruction tuning and focuses solely on general model improvements - When your data source is limited to English or a few languages, excluding the need for broad linguistic coverage as provided by CommitPack ## When NOT to use octo - Avoid Octo if your project does not require the scale of data it was trained on, as the model might be overkill for smaller datasets. - Do not use Octo if you are working in an environment that does not support Python or the specific versions of Jax required for GPU and TPU support. - If your project has strict licensing requirements that do not allow for MIT-licensed software, Octo would not be a suitable choice. ## Common questions ### What is the difference between octopack and octo? octopack: OctoPack: Instruction Tuning Code Large Language Models. octo: Transformer-based robot policy trained on 800k robot trajectories. See the comparison table for live GitHub stats and shared categories. ### When should I choose octopack over octo? Choose octopack over octo when octopack is primarily Jupyter Notebook; octo is Python; Tags unique to octopack: code-llm, dataset, evaluation, instruction-tuning; Also covers Data & Retrieval; When you need to fine-tune StarCoder or CodeGeeX2 on commit message datasets formatted as instructions. ### When should I choose octo over octopack? Choose octo over octopack when octo is primarily Python; octopack is Jupyter Notebook; Requirements: Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required.; Tags unique to octo: finetuning, gpu, jax, robotics; Use Octo when you need a transformer-based policy for robot control tasks that can leverage a large dataset of 800k robot trajectories. ### When should I avoid octopack? If your project does not require instruction tuning and focuses solely on general model improvements When your data source is limited to English or a few languages, excluding the need for broad linguistic coverage as provided by CommitPack ### When should I avoid octo? Avoid Octo if your project does not require the scale of data it was trained on, as the model might be overkill for smaller datasets. Do not use Octo if you are working in an environment that does not support Python or the specific versions of Jax required for GPU and TPU support. If your project has strict licensing requirements that do not allow for MIT-licensed software, Octo would not be a suitable choice. ### Is octopack or octo more popular on GitHub? octo has more GitHub stars (1,778 vs 480). Stars measure visibility, not whether either tool fits your constraints. ### Are octopack and octo open source? Yes - both are open-source projects on GitHub (octopack: MIT, octo: MIT). ### Where can I find alternatives to octopack or octo? GraphCanon lists graph-backed alternatives at [octopack alternatives](/tools/bigcode-project-octopack/alternatives) and [octo alternatives](/tools/octo-models-octo/alternatives) ([octopack markdown twin](/tools/bigcode-project-octopack/alternatives.md), [octo markdown twin](/tools/octo-models-octo/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/bigcode-project-octopack-vs-octo-models-octo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, octopack or octo? octopack: Dormant. octo: 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 octopack and octo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [octopack trust report](/tools/bigcode-project-octopack/trust); [octo trust report](/tools/octo-models-octo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-octopack`](/api/graphcanon/graph?tool=bigcode-project-octopack) - 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/_