Comparison
uqlm vs StableLM
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.
Markdown twin · uqlm alternatives · StableLM alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | uqlm | StableLM |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 8, 2026 · github_public_v1 | Dormant (892d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- uqlm
- A Python package for uncertainty quantification in LLM hallucination detection
- StableLM
- Stability AI Language Models
Stars
- uqlm
- 1.2k
- StableLM
- 16k
Forks
- uqlm
- 131
- StableLM
- 1.0k
Open issues
- uqlm
- 23
- StableLM
- 27
Language
- uqlm
- Python
- StableLM
- Jupyter Notebook
Adopt for
- uqlm
- uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations.
- StableLM
- 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
- uqlm
- -
- StableLM
- -
Runtime
- uqlm
- -
- StableLM
- -
License
- uqlm
- Apache-2.0
- StableLM
- Apache-2.0
Last pushed
- uqlm
- Sep 7, 2026
- StableLM
- Apr 8, 2024
Categories
- uqlm
- Evaluation & Observability
- StableLM
- LLM Frameworks, Model Training
Trust and health
Maintenance
- uqlm
- Very active (96%)
- StableLM
- Dormant (18%)
Days since push
- uqlm
- 0d
- StableLM
- 892d
Open issues (now)
- uqlm
- 23
- StableLM
- 27
Stars delta
- uqlm
- +8 (30d)
- StableLM
- -6 (30d)
Open issues delta
- uqlm
- -2 (30d)
- StableLM
- -1 (30d)
Full report
- uqlm
- Trust report
- StableLM
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cvs-health/uqlm) · observed Sep 20, 2026
- GitHub forks (cvs-health/uqlm) · observed Sep 20, 2026
- Last push (cvs-health/uqlm) · observed Sep 7, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Stability-AI/StableLM) · observed Sep 20, 2026
- GitHub forks (Stability-AI/StableLM) · observed Sep 20, 2026
- Last push (Stability-AI/StableLM) · observed Apr 8, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: uqlm 1.2k · StableLM 16k (synced Sep 20, 2026).
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 and StableLM alternatives (uqlm markdown twin, StableLM markdown twin), 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 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; StableLM trust report.