--- title: "litgpt vs codellama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightning-ai-litgpt-vs-meta-llama-codellama" tools: ["lightning-ai-litgpt", "meta-llama-codellama"] --- # litgpt vs codellama *GraphCanon updated Aug 7, 2026* ## Verdict Pick litgpt if litGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment; pick codellama if codellama offers an open-source inference framework for CodeLlama models using Python. [litgpt](https://lightning.ai) reports 14k GitHub stars, 1.5k forks, and 272 open issues, last pushed Jul 20, 2026. [codellama](https://github.com/meta-llama/codellama) has 16k stars, 1.9k forks, and 116 open issues, last pushed Aug 12, 2024. Figures are from public GitHub metadata via [litgpt's repository](https://github.com/Lightning-AI/litgpt) and [codellama's repository](https://github.com/meta-llama/codellama). | | [litgpt](/tools/lightning-ai-litgpt.md) | [codellama](/tools/meta-llama-codellama.md) | | --- | --- | --- | | Tagline | High-performance LLMs with recipes for pretraining, finetuning and deployment | Inference code for CodeLlama models | | Stars | 13,605 | 16,280 | | Forks | 1,483 | 1,939 | | Open issues | 272 | 116 | | Language | Python | Python | | Adopt for | LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment. | codellama offers an open-source inference framework for CodeLlama models using Python. | | Persona | - | - | | Runtime | - | - | | License | LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification. | Other | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litgpt](/tools/lightning-ai-litgpt.md) | [codellama](/tools/meta-llama-codellama.md) | | --- | --- | --- | | Maintenance | Active (82%) | Archived (8%) | | Days since push | 17d | 722d | | Archived on GitHub | No | Yes | | Open issues (now) | 272 | 116 | | Stars delta | +137 (30d) | Unknown | | Open issues delta | +6 (30d) | Unknown | | Full report | [trust report](/tools/lightning-ai-litgpt/trust.md) | [trust report](/tools/meta-llama-codellama/trust.md) | ## Decision facts: litgpt - **Pricing:** freemium - The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models. - **Requirements:** Min 16 GB RAM - **Adopt for:** LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment. - **License detail:** LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification. ## 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. ## Choose when ### Choose litgpt if… - License: litgpt is Apache-2.0, codellama is Other. - Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.. - Requirements: Min 16 GB RAM. - Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large language models. - Also covers LLM Frameworks, Model Training. - If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application. ### Choose codellama if… - License: codellama is Other, litgpt is Apache-2.0. - 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 NOT to use litgpt - If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources. - When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable. ## 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. ## Common questions ### What is the difference between litgpt and codellama? litgpt: High-performance LLMs with recipes for pretraining, finetuning and deployment. codellama: Inference code for CodeLlama models. See the comparison table for live GitHub stats and shared categories. ### When should I choose litgpt over codellama? Choose litgpt over codellama when License: litgpt is Apache-2.0, codellama is Other; Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.; Requirements: Min 16 GB RAM; Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large language models; Also covers LLM Frameworks, Model Training; If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application. ### When should I choose codellama over litgpt? Choose codellama over litgpt when License: codellama is Other, litgpt is Apache-2.0; 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 avoid litgpt? If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources. When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable. ### 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. ### Is litgpt or codellama more popular on GitHub? codellama has more GitHub stars (16,280 vs 13,605). Stars measure visibility, not whether either tool fits your constraints. ### Are litgpt and codellama open source? Yes - both are open-source projects on GitHub (litgpt: Apache-2.0, codellama: Other). ### Where can I find alternatives to litgpt or codellama? GraphCanon lists graph-backed alternatives at [litgpt alternatives](/tools/lightning-ai-litgpt/alternatives) and [codellama alternatives](/tools/meta-llama-codellama/alternatives) ([litgpt markdown twin](/tools/lightning-ai-litgpt/alternatives.md), [codellama markdown twin](/tools/meta-llama-codellama/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/lightning-ai-litgpt-vs-meta-llama-codellama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litgpt or codellama? litgpt: Active. codellama: Archived. 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 litgpt and codellama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litgpt trust report](/tools/lightning-ai-litgpt/trust); [codellama trust report](/tools/meta-llama-codellama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lightning-ai-litgpt`](/api/graphcanon/graph?tool=lightning-ai-litgpt) - 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/_