cwin tây ninh

Product description



　　","pad_token":null,"unk_token":"","use_default_system_prompt":false},"additional_chat_templates":{ }},"createdAt":"2024-08-14T14:45:37.000Z","discussionsDisabled":false,"downloads":16,"downloadsAllTime":63,"doi":{ "id":"10.57967/hf/2884","commit":"b9a01afb8d1c015b34caf6fc593da2b4ed862159"},"id":"WestlakeNLP/WhizReviewer-ML-Pro-123B","isLikedByUser":false,"availableInferenceProviders":[],"inference":"","lastModified":"2024-10-25T10:19:52.000Z","likes":1,"pipeline_tag":"text-generation","library_name":"transformers","librariesOther":[],"trackDownloads":true,"model-index":null,"private":false,"repoType":"model","gated":false,"pwcLink":{ "error":"Unknown error, can't generate link to Papers With Code."},"tags":["transformers","safetensors","mistral","text-generation","conversational","en","zh","ja","ko","fr","de","arxiv:2207.10442","base_model:mistralai/Mistral-Large-Instruct-2407","base_model:finetune:mistralai/Mistral-Large-Instruct-2407","doi:10.57967/hf/2884","license:other","autotrain_compatible","text-generation-inference","endpoints_compatible","region:us"],"tag_objs":[{ "id":"text-generation","label":"Text Generation","type":"pipeline_tag","subType":"nlp"},{ "id":"transformers","label":"Transformers","type":"library"},{ "id":"safetensors","label":"Safetensors","type":"library"},{ "id":"en","label":"English","type":"language"},{ "id":"zh","label":"Chinese","type":"language"},{ "id":"ja","label":"Japanese","type":"language"},{ "id":"ko","label":"Korean","type":"language"},{ "id":"fr","label":"French","type":"language"},{ "id":"de","label":"German","type":"language"},{ "id":"doi:10.57967/hf/2884","label":"doi:10.57967/hf/2884","type":"doi"},{ "id":"mistral","label":"mistral","type":"other"},{ "id":"conversational","label":"conversational","type":"other"},{ "id":"base_model:mistralai/Mistral-Large-Instruct-2407","label":"base_model:mistralai/Mistral-Large-Instruct-2407","type":"other"},{ "id":"base_model:finetune:mistralai/Mistral-Large-Instruct-2407","label":"base_model:finetune:mistralai/Mistral-Large-Instruct-2407","type":"other"},{ "id":"autotrain_compatible","label":"AutoTrain Compatible","type":"other"},{ "id":"text-generation-inference","label":"text-generation-inference","type":"other"},{ "id":"endpoints_compatible","label":"Inference Endpoints","type":"other"},{ "id":"arxiv:2207.10442","label":"arxiv:2207.10442","type":"arxiv","extra":{ "paperTitle":"Estimation of Non-Crossing Quantile Regression Process with Deep ReQU

　　Neural Networks"}},{ "id":"license:other","label":"other","type":"license"},{ "type":"region","label":"🇺🇸 Region: US","id":"region:us"}],"transformersInfo":{ "auto_model":"AutoModelForCausalLM","pipeline_tag":"text-generation","processor":"AutoTokenizer"},"widgetData":[{ "text":"Hi, what can you help me with?"},{ "text":"What is 84 * 3 / 2?"},{ "text":"Tell me an interesting fact about the universe!"},{ "text":"Explain quantum computing in simple terms."}],"safetensors":{ "parameters":{ "BF16":122610069504},"total":122610069504,"sharded":true},"hasBlockedOids":false,"region":"us","isQuantized":false,"xetEnabled":false},"canWrite":false,"shouldUpdateUrl":true,"inferenceContextData":{ "billableEntities":[],"entityName2Providers":{ }}}">