--- title: "litgpt vs StableLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightning-ai-litgpt-vs-stability-ai-stablelm" tools: ["lightning-ai-litgpt", "stability-ai-stablelm"] --- # litgpt vs StableLM *GraphCanon updated Sep 20, 2026* ## Verdict Pick litgpt if litgpt offers a suite of over 20 high-performance large language models, with tools for pretraining, finetuning, and deployment at scale, all under the Apache-2.0 license; pick StableLM if stableLM is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained on 4 trillion tokens over 4 epochs. [litgpt](https://lightning.ai) reports 14k GitHub stars, 1.5k forks, and 290 open issues, last pushed Sep 14, 2026. [StableLM](https://github.com/Stability-AI/StableLM) has 16k stars, 1.0k forks, and 27 open issues, last pushed Apr 8, 2024. Figures are from public GitHub metadata via [litgpt's repository](https://github.com/Lightning-AI/litgpt) and [StableLM's repository](https://github.com/Stability-AI/StableLM). | | [litgpt](/tools/lightning-ai-litgpt.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Tagline | High-performance LLMs for pretraining, finetuning, and deployment | Stability AI Language Models | | Stars | 13,667 | 15,678 | | Forks | 1,503 | 1,001 | | Open issues | 290 | 27 | | Language | Python | Jupyter Notebook | | Adopt for | litgpt offers a suite of over 20 high-performance large language models, with tools for pretraining, finetuning, and deployment at scale, all under the Apache-2.0 license. | StableLM is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained on 4 trillion tokens over 4 epochs. The repository includes model updates, a | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litgpt](/tools/lightning-ai-litgpt.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 892d | | Open issues (now) | 290 | 27 | | Stars delta | +62 (30d) | -6 (30d) | | Open issues delta | +18 (30d) | -1 (30d) | | Full report | [trust report](/tools/lightning-ai-litgpt/trust.md) | [trust report](/tools/stability-ai-stablelm/trust.md) | ## Decision facts: litgpt - **Adopt for:** litgpt offers a suite of over 20 high-performance large language models, with tools for pretraining, finetuning, and deployment at scale, all under the Apache-2.0 license. ## Decision facts: StableLM - **Adopt for:** StableLM is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained on 4 trillion tokens over 4 epochs. The repository includes model updates, a ## Choose when ### Choose litgpt if… - litgpt is primarily Python; StableLM is Jupyter Notebook. - Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large-language-models. - Also covers Inference & Serving. - When you need a comprehensive set of over 20 high-performance LLMs for pretraining, finetuning, and deployment. ### Choose StableLM if… - StableLM is primarily Jupyter Notebook; litgpt is Python. - Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training. - When you need a model that has been trained with a multi-epoch regime to study the impact of repeated tokens on performance, such as the StableLM-3B-4E1T model. ## When NOT to use litgpt - If you are looking for a tool that supports languages other than Python, as litgpt is exclusively Python-based. - When you need a tool that offers fewer model options, as litgpt provides over 20 models which might be overwhelming for specific use cases. - If you require proprietary licensing, as litgpt is open-source under the Apache-2.0 license. ## When NOT to use StableLM - If you need a model that is strictly under the Apache-2.0 license, as StableLM models are available under different licenses like CC BY-SA-4.0 and CC BY-NC-SA-4.0. - When you require a model that has not been trained with repeated tokens, as StableLM models like StableLM-3B-4E1T are specifically designed with this training method. - If your project requires a model that is not a decoder-only transformer with specific architecture modifications, such as the use of Rotary Position Embeddings. ## Common questions ### What is the difference between litgpt and StableLM? litgpt: High-performance LLMs for pretraining, finetuning, and deployment. StableLM: Stability AI Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose litgpt over StableLM? Choose litgpt over StableLM when litgpt is primarily Python; StableLM is Jupyter Notebook; Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large-language-models; Also covers Inference & Serving; When you need a comprehensive set of over 20 high-performance LLMs for pretraining, finetuning, and deployment. ### When should I choose StableLM over litgpt? Choose StableLM over litgpt when StableLM is primarily Jupyter Notebook; litgpt is Python; Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training; When you need a model that has been trained with a multi-epoch regime to study the impact of repeated tokens on performance, such as the StableLM-3B-4E1T model. ### When should I avoid litgpt? If you are looking for a tool that supports languages other than Python, as litgpt is exclusively Python-based. When you need a tool that offers fewer model options, as litgpt provides over 20 models which might be overwhelming for specific use cases. If you require proprietary licensing, as litgpt is open-source under the Apache-2.0 license. ### When should I avoid StableLM? If you need a model that is strictly under the Apache-2.0 license, as StableLM models are available under different licenses like CC BY-SA-4.0 and CC BY-NC-SA-4.0. When you require a model that has not been trained with repeated tokens, as StableLM models like StableLM-3B-4E1T are specifically designed with this training method. If your project requires a model that is not a decoder-only transformer with specific architecture modifications, such as the use of Rotary Position Embeddings. ### Is litgpt or StableLM more popular on GitHub? StableLM has more GitHub stars (15,678 vs 13,667). Stars measure visibility, not whether either tool fits your constraints. ### Are litgpt and StableLM open source? Yes - both are open-source projects on GitHub (litgpt: Apache-2.0, StableLM: Apache-2.0). ### Where can I find alternatives to litgpt or StableLM? GraphCanon lists graph-backed alternatives at [litgpt alternatives](/tools/lightning-ai-litgpt/alternatives) and [StableLM alternatives](/tools/stability-ai-stablelm/alternatives) ([litgpt markdown twin](/tools/lightning-ai-litgpt/alternatives.md), [StableLM markdown twin](/tools/stability-ai-stablelm/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-stability-ai-stablelm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litgpt or StableLM? litgpt: Very active. StableLM: 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 litgpt and StableLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litgpt trust report](/tools/lightning-ai-litgpt/trust); [StableLM trust report](/tools/stability-ai-stablelm/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/_