Wildguard
Last reviewed:
Sovereignty and hosting
This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.
Summary
It takes text and returns text. Wildguard is published by Allen Institute for AI (Ai2) as open weights with 7.2B parameters under Apache-2.0. The published configuration records no context window, so this card carries none. The repository was created in June 2024 and is mirrored on Hugging Face. The checkpoint is instruction-tuned and ships a chat template. The card is catalogue-only: LLM EU does not run this model. The publisher lists 3 languages, 1 of them among the languages the European Union publishes in.
Specifications
- Provider
- Allen Institute for AI (Ai2) (US)
- Context window
- Not verified: the provider has not documented this claim.
- Parameters
- 7.2B
- Modalities
- text
- License
- apache-2.0 · licence
- Open weights
- yes
- Release date
- 15 Jun 2024
- Tasks
- Sensitive data
Languages
Strong: en
Adequate: llm, lm
Strong
- en
Adequate
- llm
- lm
Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
When to use it
Strengths
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 7.2B parameters it fits on a single accelerator
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository
Limits
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 7.2B parameters, the weights fit on a single modest accelerator
- a moderation classifier, not a chat model