--- title: "uqlm vs StableLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cvs-health-uqlm-vs-stability-ai-stablelm" tools: ["cvs-health-uqlm", "stability-ai-stablelm"] --- # uqlm vs StableLM *GraphCanon updated Sep 20, 2026* ## Verdict Pick uqlm if uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations; 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. The repository includes model updates, a. [uqlm](https://cvs-health.github.io/uqlm/latest/index.html) reports 1.2k GitHub stars, 131 forks, and 23 open issues, last pushed Sep 7, 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 [uqlm's repository](https://github.com/cvs-health/uqlm) and [StableLM's repository](https://github.com/Stability-AI/StableLM). | | [uqlm](/tools/cvs-health-uqlm.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Tagline | A Python package for uncertainty quantification in LLM hallucination detection | Stability AI Language Models | | Stars | 1,196 | 15,678 | | Forks | 131 | 1,001 | | Open issues | 23 | 27 | | Language | Python | Jupyter Notebook | | Adopt for | uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations. | 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 | Evaluation & Observability | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [uqlm](/tools/cvs-health-uqlm.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 892d | | Open issues (now) | 23 | 27 | | Stars delta | +8 (30d) | -6 (30d) | | Open issues delta | -2 (30d) | -1 (30d) | | Full report | [trust report](/tools/cvs-health-uqlm/trust.md) | [trust report](/tools/stability-ai-stablelm/trust.md) | ## Decision facts: uqlm - **Adopt for:** uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations. ## 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 uqlm if… - uqlm is primarily Python; StableLM is Jupyter Notebook. - Tags unique to uqlm: ai-evaluation, ai-safety, confidence-estimation, hallucination-detection. - Also covers Evaluation & Observability. - When precise estimation of confidence scores is needed to ensure reliability in language model predictions. ### Choose StableLM if… - StableLM is primarily Jupyter Notebook; uqlm is Python. - Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training. - Also covers LLM Frameworks, Model 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 uqlm - If working exclusively with non-language-based machine learning models, as uqlm focuses on text outputs from LLMs. - When simple plug-and-play performance metrics suffice; uqlm requires a more intricate setup for uncertainty quantification and confidence estimation. ## 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 uqlm and StableLM? uqlm: A Python package for uncertainty quantification in LLM hallucination detection. StableLM: Stability AI Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose uqlm over StableLM? Choose uqlm over StableLM when uqlm is primarily Python; StableLM is Jupyter Notebook; Tags unique to uqlm: ai-evaluation, ai-safety, confidence-estimation, hallucination-detection; Also covers Evaluation & Observability; When precise estimation of confidence scores is needed to ensure reliability in language model predictions. ### When should I choose StableLM over uqlm? Choose StableLM over uqlm when StableLM is primarily Jupyter Notebook; uqlm is Python; Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training; Also covers LLM Frameworks, Model 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 uqlm? If working exclusively with non-language-based machine learning models, as uqlm focuses on text outputs from LLMs. When simple plug-and-play performance metrics suffice; uqlm requires a more intricate setup for uncertainty quantification and confidence estimation. ### 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 uqlm or StableLM more popular on GitHub? StableLM has more GitHub stars (15,678 vs 1,196). Stars measure visibility, not whether either tool fits your constraints. ### Are uqlm and StableLM open source? Yes - both are open-source projects on GitHub (uqlm: Apache-2.0, StableLM: Apache-2.0). ### Where can I find alternatives to uqlm or StableLM? GraphCanon lists graph-backed alternatives at [uqlm alternatives](/tools/cvs-health-uqlm/alternatives) and [StableLM alternatives](/tools/stability-ai-stablelm/alternatives) ([uqlm markdown twin](/tools/cvs-health-uqlm/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/cvs-health-uqlm-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, uqlm or StableLM? uqlm: 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 uqlm and StableLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [uqlm trust report](/tools/cvs-health-uqlm/trust); [StableLM trust report](/tools/stability-ai-stablelm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cvs-health-uqlm`](/api/graphcanon/graph?tool=cvs-health-uqlm) - 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/_