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Add disclaimer w.r.t. gated models/Llama 2.
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@ -1080,6 +1080,21 @@ Currently, these models are provided as part of the core library:
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| `spacy.StableLM.v1` | Stability AI | `["stablelm-base-alpha-3b", "stablelm-base-alpha-7b", "stablelm-tuned-alpha-3b", "stablelm-tuned-alpha-7b"]` | https://huggingface.co/stabilityai |
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| `spacy.StableLM.v1` | Stability AI | `["stablelm-base-alpha-3b", "stablelm-base-alpha-7b", "stablelm-tuned-alpha-3b", "stablelm-tuned-alpha-7b"]` | https://huggingface.co/stabilityai |
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| `spacy.OpenLLaMA.v1` | OpenLM Research | `["open_llama_3b", "open_llama_7b", "open_llama_7b_v2", "open_llama_13b"]` | https://huggingface.co/openlm-research |
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| `spacy.OpenLLaMA.v1` | OpenLM Research | `["open_llama_3b", "open_llama_7b", "open_llama_7b_v2", "open_llama_13b"]` | https://huggingface.co/openlm-research |
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<Infobox variant="warning" title="Gated models on Hugging Face" id="hf_licensing">
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Some models available on Hugging Face (HF), such as Llama 2, are _gated models_.
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That means that users have to fulfill certain requirements to be allowed access
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to these models. In the case of Llama 2 you'll need to request agree to Meta's
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Terms of Service while logged in with your HF account. After Meta grants you
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permission to use Llama 2, you'll be able to download and use the model.
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This requires that you are logged in with your HF account on your local
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machine - check out the HF quick start documentation. In a nutshell, you'll need
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to create an access token on HF and log in to HF using your access token, e. g.
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with `huggingface-cli login`.
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</Infobox>
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Note that Hugging Face will download the model the first time you use it - you
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Note that Hugging Face will download the model the first time you use it - you
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can
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can
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[define the cached directory](https://huggingface.co/docs/huggingface_hub/main/en/guides/manage-cache)
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[define the cached directory](https://huggingface.co/docs/huggingface_hub/main/en/guides/manage-cache)
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