CantoneseLLM-v2.0-30B-A3B-Thinking
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CantoneseLLM-v2.0-8B-Thinking
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View details ↗Ling-1T-GGUF
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View details ↗Qwen2.5-VL-7B-Instruct_DPE_v3
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View details ↗GoClick-Base
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View details ↗GoClick-Large
HongxinLi基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗informer-1b-4k
hongyin基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗mistral-7b-80k
hongyin基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗chess-piece-yolo
honi05基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗ChessBoardDetector
honi05基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗mira-agent-instinct
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View details ↗bge-m3-onnx-o4
hooman650This is `bge-m3-onnx-o4` weights of the original `BAAI/bge-m3`. Why is this model cool? - [x] Multi-Functionality: It can simultaneously perform the three common retrieval functionalities of embedding model: dense retrieval, multi-vector retrieval, and sparse retrieval. - [x] Multi-Linguality: It can support more than **100** working languages. - [x] Multi-Granularity: It is able to process inputs of different granularities, spanning from short sentences to long documents of up to **8192** tokens. 1. **Download** the checkpoint: For some reason you cannot directly load from this online version (you will get an exception). Please download this repo as below:
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View details ↗hoi4-portraits-flux2-klein-9b-lora
Hoops-McCann基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗albert-fa-zwnj-base-v2
HooshvareLab基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bert-base-parsbert-ner-uncased
HooshvareLab基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bert-base-parsbert-uncased
HooshvareLabParsBERT is a monolingual language model based on Google’s BERT architecture with the same configurations as BERT-Base. All the models (downstream tasks) are uncased and trained with whole word masking. (coming soon stay tuned) This model is pre-trained on a large Persian corpus with various writing styles from numerous subjects (e.g., scientific, novels, news) with more than 2M documents. A large subset of this corpus was crawled manually.
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View details ↗bert-fa-base-uncased
HooshvareLabWe reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes! Please follow the ParsBERT repo for the latest information about previous and current models. ParsBERT is a monolingual language model based on Google’s BERT architecture. This model is pre-trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news) with more than `3.9M` documents, `73M` sentences, and `1.3B` words. You can use the raw model for either masked language modeling or next sentence prediction, but it's mostly intended to be fine-tuned on a downstream task. See the model hub to look for fine-tuned versions on a task that interests you.
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View details ↗bert-fa-base-uncased-sentiment-snappfood
HooshvareLab基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bert-fa-zwnj-base
HooshvareLabThe new version of BERT v3.0 for Persian is available today and can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new set of vocabulary. ParsBERT is a monolingual language model based on Google’s BERT architecture. This model is pre-trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news).
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View details ↗bert-fa-zwnj-base-ner
HooshvareLab基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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