{"schema_version":"onlylabs.public_signal.v1","title":"xAI Model: xai-org/grok-1","description":"xAI model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/7c7855de-c705-47e6-9ecd-35693690610e","json_url":"https://onlylabs.fyi/signals/7c7855de-c705-47e6-9ecd-35693690610e/signal.json","generated_at":"2026-06-11T03:27:50.854357+00:00","org":{"slug":"xai","name":"xAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/xai","dossier_json_url":"https://onlylabs.fyi/labs/xai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/7c7855de-c705-47e6-9ecd-35693690610e","signal_json":"https://onlylabs.fyi/signals/7c7855de-c705-47e6-9ecd-35693690610e/signal.json","source":"https://huggingface.co/xai-org/grok-1","lab_dossier":"https://onlylabs.fyi/labs/xai","lab_dossier_json":"https://onlylabs.fyi/labs/xai/dossier.json","analysis":"https://onlylabs.fyi/analysis/xai","analysis_json":"https://onlylabs.fyi/analysis/xai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/xai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"xAI published xai-org/grok-1. 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huggingface.co."},{"subject":"xai-org/grok-1","predicate":"has task","object":"text-generation","text":"xai-org/grok-1 has task text-generation."},{"subject":"xai-org/grok-1","predicate":"has license","object":"apache-2.0","text":"xai-org/grok-1 has license apache-2.0."},{"subject":"xai-org/grok-1","predicate":"has library","object":"grok","text":"xai-org/grok-1 has library grok."},{"subject":"xai-org/grok-1","predicate":"has downloads","object":"258","text":"xai-org/grok-1 has downloads 258."},{"subject":"xai-org/grok-1","predicate":"has likes","object":"2.4K","text":"xai-org/grok-1 has likes 2.4K."}]},"intelligence":{"signal_desk":"releases","answer":"xAI published xai-org/grok-1. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. 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You can find the code in the [GitHub Repository](https://github.com/xai-org/grok-1/tree/main). Download instruction Clone the repo & download the `int8` checkpoint to the `checkpoints` directory by executing this command in the repo root directory: ```shell git clone https://github.com/xai-org/grok-1.git && cd grok-1 pip install huggingface_hub[hf_transfer] huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False ``` Then, you can run: ```shell pip install -r requirements.txt python run.py ``` You should be seeing output from the language model. Due to the large size of the model (314B parameters), a multi-GPU machine is required to test the model with the example code. p.s. we're hiring: https://x.ai/careers"},"evidence_pages":[{"url":"https://huggingface.co/xai-org/grok-1/raw/main/README.md","final_url":"https://huggingface.co/xai-org/grok-1/raw/main/README.md","title":"xai-org/grok-1 model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T03:27:50.854357+00:00","bytes":975,"raw_path":"a88bad2ef9504803ba12beb691fbcbec855eda3638aa6639948eb0252dc31d64.md","content_hash":"e297ee52053c45f4cc8a0aa9bb2886ab4322f564be02cee0ea919b20bad03557","excerpt_chars":1200,"truncated":false,"excerpt":"--- license: apache-2.0 pipeline_tag: text-generation library_name: grok tags: - grok-1 --- Grok-1 This repository contains the weights of the Grok-1 open-weights model. You can find the code in the [GitHub Repository](https://github.com/xai-org/grok-1/tree/main). Download instruction Clone the repo & download the `int8` checkpoint to the `checkpoints` directory by executing this command in the repo root directory: ```shell git clone https://github.com/xai-org/grok-1.git && cd grok-1 pip install huggingface_hub[hf_transfer] huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False ``` Then, you can run: ```shell pip install -r requirements.txt python run.py ``` You should be seeing output from the language model. 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