--- title: "codellama vs llamafile" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/meta-llama-codellama-vs-mozilla-ai-llamafile" tools: ["meta-llama-codellama", "mozilla-ai-llamafile"] --- # codellama vs llamafile *GraphCanon updated Oct 7, 2026* ## Verdict Pick codellama if codellama offers an open-source inference framework for CodeLlama models using Python; pick llamafile if leverage llamafile for simplified deployment of language models across different platforms with its single file executable approach. [codellama](https://github.com/meta-llama/codellama) reports 16k GitHub stars, 1.9k forks, and 116 open issues, last pushed Aug 12, 2024. [llamafile](https://docs.mozilla.ai/llamafile) has 26k stars, 1.6k forks, and 211 open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [codellama's repository](https://github.com/meta-llama/codellama) and [llamafile's repository](https://github.com/mozilla-ai/llamafile). | | [codellama](/tools/meta-llama-codellama.md) | [llamafile](/tools/mozilla-ai-llamafile.md) | | --- | --- | --- | | Tagline | Inference code for CodeLlama models | Distribute and run LLMs with a single file. | | Stars | 16,234 | 25,999 | | Forks | 1,930 | 1,598 | | Open issues | 116 | 211 | | Language | Python | C++ | | Adopt for | codellama offers an open-source inference framework for CodeLlama models using Python. | Leverage llamafile for simplified deployment of language models across different platforms with its single file executable approach. | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codellama](/tools/meta-llama-codellama.md) | [llamafile](/tools/mozilla-ai-llamafile.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Very active (96%) | | Days since push | 785d | 3d | | Archived on GitHub | Yes | No | | Open issues (now) | 116 | 211 | | Stars delta | -31 (30d) | +529 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/meta-llama-codellama/trust.md) | [trust report](/tools/mozilla-ai-llamafile/trust.md) | ## Decision facts: codellama - **Pricing:** freemium - codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required. - **Requirements:** Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama. - **Adopt for:** codellama offers an open-source inference framework for CodeLlama models using Python. ## Decision facts: llamafile - **Adopt for:** Leverage llamafile for simplified deployment of language models across different platforms with its single file executable approach. ## Choose when ### Choose codellama if… - codellama is primarily Python; llamafile is C++. - Pricing: codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required.. - Requirements: Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama.. - Tags unique to codellama: codellama, inference, python. - If you need to work with the CodeLlama models specifically and benefit from their specialized capabilities in coding tasks, codellama provides tailored support that may outperform generic solutions. ### Choose llamafile if… - llamafile is primarily C++; codellama is Python. - Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai. - Also covers LLM Frameworks. - - You require cross-platform support for your LLM deployments and prefer managing them via a single file. ## When NOT to use codellama - If you are working on projects that do not align with CodeLlama's acceptable use policy or require compliance with specific industry standards beyond what codellama offers. - For tasks that demand a different primary programming language other than Python, as codellama is primarily developed around the Python ecosystem. ## When NOT to use llamafile - - If you need extensive customization options that cannot be handled through a single file approach. - - In environments where dependency management outside of the single executable is mandatory. ## Common questions ### What is the difference between codellama and llamafile? codellama: Inference code for CodeLlama models. llamafile: Distribute and run LLMs with a single file.. See the comparison table for live GitHub stats and shared categories. ### When should I choose codellama over llamafile? Choose codellama over llamafile when codellama is primarily Python; llamafile is C++; Pricing: codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required.; Requirements: Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama.; Tags unique to codellama: codellama, inference, python; If you need to work with the CodeLlama models specifically and benefit from their specialized capabilities in coding tasks, codellama provides tailored support that may outperform generic solutions. ### When should I choose llamafile over codellama? Choose llamafile over codellama when llamafile is primarily C++; codellama is Python; Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai; Also covers LLM Frameworks; - You require cross-platform support for your LLM deployments and prefer managing them via a single file. ### When should I avoid codellama? If you are working on projects that do not align with CodeLlama's acceptable use policy or require compliance with specific industry standards beyond what codellama offers. For tasks that demand a different primary programming language other than Python, as codellama is primarily developed around the Python ecosystem. ### When should I avoid llamafile? - If you need extensive customization options that cannot be handled through a single file approach. - In environments where dependency management outside of the single executable is mandatory. ### Is codellama or llamafile more popular on GitHub? llamafile has more GitHub stars (25,999 vs 16,234). Stars measure visibility, not whether either tool fits your constraints. ### Are codellama and llamafile open source? Yes - both are open-source projects on GitHub (codellama: Other, llamafile: Other). ### Where can I find alternatives to codellama or llamafile? GraphCanon lists graph-backed alternatives at [codellama alternatives](/tools/meta-llama-codellama/alternatives) and [llamafile alternatives](/tools/mozilla-ai-llamafile/alternatives) ([codellama markdown twin](/tools/meta-llama-codellama/alternatives.md), [llamafile markdown twin](/tools/mozilla-ai-llamafile/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/meta-llama-codellama-vs-mozilla-ai-llamafile.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, codellama or llamafile? codellama: Archived. llamafile: 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 codellama and llamafile? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [codellama trust report](/tools/meta-llama-codellama/trust); [llamafile trust report](/tools/mozilla-ai-llamafile/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=meta-llama-codellama`](/api/graphcanon/graph?tool=meta-llama-codellama) - 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/_