{"payload":{"header_redesign_enabled":false,"results":[{"id":"742336575","archived":false,"color":"#3572A5","followers":9,"has_funding_file":false,"hl_name":"OpenGVLab/LLMPrune-BESA","hl_trunc_description":"BESA is a differentiable weight pruning technique for large language models.","language":"Python","mirror":false,"owned_by_organization":true,"public":true,"repo":{"repository":{"id":742336575,"name":"LLMPrune-BESA","owner_id":94522163,"owner_login":"OpenGVLab","updated_at":"2024-03-04T10:10:55.259Z","has_issues":true}},"sponsorable":false,"topics":[],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":84,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253AOpenGVLab%252FLLMPrune-BESA%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/OpenGVLab/LLMPrune-BESA/star":{"post":"8JFggTGeTokGQs__miX8G0DczYOPjoN4To0IAj8ftw0Iu1F3dVNuuQiLxaYnBjtXwo6KzcapdxUiw82-2w438w"},"/OpenGVLab/LLMPrune-BESA/unstar":{"post":"1mjvtkjNNTu1HMaMuHl2o0uAMVu_ZXSopG6y4qBJBsE9HWOzr8q0Hclr10hTaLfTdx7Zd2uD9T2aV3RZbPetyQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"w5-kOmPQlL5ZdEFoXAgKWV7le_o5VoyXqPvHE-djT_4hdGp5sAGXvwWU0eSKSfPRv99QuB8IU4kVYgbHFyk3Og"}}},"title":"Repository search results"}