GraphCanon
Home/Compare/model_card vs StableLM

Comparison

model_card vs StableLM

Verdict

Pick model_card if the model_card for BLOOM LM provides comprehensive details on the development, training data, risks, and evaluation of a large, multilingual language model. It is useful for researchers and developers working with multil; 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.

Markdown twin · model_card alternatives · StableLM alternatives

GraphCanon updated Sep 20, 2026

9views this month

model_card logo

model_card

bigscience-workshop/model_card

★ 25pushed Jul 11, 2022
vs
StableLM logo

StableLM

Stability-AI/StableLM

★ 16kpushed Apr 8, 2024

Trust & integrity

Signalmodel_cardStableLM
Maintenance
Dormant (1529d since push)
As of Sep 18, 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 18, 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 Sep 18, 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
model_card trust reportStableLM trust reportTrust methodology

Tagline

model_card
Model Card for BLOOM LM
StableLM
Stability AI Language Models

Stars

model_card
25
StableLM
16k

Forks

model_card
5
StableLM
1.0k

Open issues

model_card
0
StableLM
27

Language

model_card
-
StableLM
Jupyter Notebook

Adopt for

model_card
The model_card for BLOOM LM provides comprehensive details on the development, training data, risks, and evaluation of a large, multilingual language model. It is useful for researchers and developers working with multil
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

model_card
-
StableLM
-

Runtime

model_card
-
StableLM
-

License

model_card
The model card is licensed under the Apache-2.0 license, allowing for broad use and modification with attribution.
StableLM
Apache-2.0

Last pushed

model_card
Jul 11, 2022
StableLM
Apr 8, 2024

Categories

model_card
Evaluation & Observability, LLM Frameworks
StableLM
LLM Frameworks, Model Training

Trust and health

Days since push

model_card
1529d
StableLM
892d

Open issues (now)

model_card
0
StableLM
27

Stars delta

model_card
-1 (30d)
StableLM
-6 (30d)

Open issues delta

model_card
0 (30d)
StableLM
-1 (30d)

Full report

model_card
Trust report
StableLM
Trust report

Choose model_card if…

  • Requirements: The model card is intended for use with the BLOOM language model and provides details on its architecture, training data, and evaluation.; It is recommended to refer to the BLOOM model card for comprehensive information before using the model in any application..
  • Tags unique to model_card: bigscience, bloom, language-model, model card.
  • Also covers Evaluation & Observability.
  • When you need detailed information on the development and training of BLOOM, a large multilingual language model.

When NOT to use model_card

  • If you are looking for a model card for a different language model, as this card is specific to BLOOM.
  • When you need real-time updates or interactive features, as the model card is static and does not provide dynamic information.
  • If you require a model card for a proprietary or closed-source model, as BLOOM is an open-access model.
  • When you need a model card that includes specific use cases or applications beyond the general information provided.
GitHubDetails

Choose StableLM if…

  • Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training.
  • Also covers 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.
GitHubDetails

Explore

model_card trust report →StableLM trust report →Evaluation & Observability category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: model_card 25 · StableLM 16k (synced Sep 20, 2026).

Common questions

What is the difference between model_card and StableLM?
model_card: Model Card for BLOOM LM. StableLM: Stability AI Language Models. See the comparison table for live GitHub stats and shared categories.
When should I choose model_card over StableLM?
Choose model_card over StableLM when Requirements: The model card is intended for use with the BLOOM language model and provides details on its architecture, training data, and evaluation.; It is recommended to refer to the BLOOM model card for comprehensive information before using the model in any application.; Tags unique to model_card: bigscience, bloom, language-model, model card; Also covers Evaluation & Observability; When you need detailed information on the development and training of BLOOM, a large multilingual language model.
When should I choose StableLM over model_card?
Choose StableLM over model_card when Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training; Also covers 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 model_card?
If you are looking for a model card for a different language model, as this card is specific to BLOOM. When you need real-time updates or interactive features, as the model card is static and does not provide dynamic information. If you require a model card for a proprietary or closed-source model, as BLOOM is an open-access model. When you need a model card that includes specific use cases or applications beyond the general information provided.
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 model_card or StableLM more popular on GitHub?
StableLM has more GitHub stars (15,678 vs 25). Stars measure visibility, not whether either tool fits your constraints.
Are model_card and StableLM open source?
Yes - both are open-source projects on GitHub (model_card: Apache-2.0, StableLM: Apache-2.0).
Where can I find alternatives to model_card or StableLM?
GraphCanon lists graph-backed alternatives at model_card alternatives and StableLM alternatives (model_card 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, model_card or StableLM?
model_card: Dormant. 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 model_card and StableLM?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: model_card trust report; StableLM trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.