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AI Models 84759

• stanza-id↗

  stanfordnlp

• StepFun-Formalizer-32B↗

  阶跃星辰

• n2↗

  tao1000

• translategemma-4b-it-gguf↗

  tatsuyaaaaaaa

• bge-micro↗

  TaylorAI

  This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. It is distilled from bge-small-en-v1.5, with 1/4 the non-embedding parameters. It has 1/2 the parameters of the smallest commonly-used embedding model, all-MiniLM-L6-v2, with similar performance. Without sentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings. For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: https://seb.sbert.net

• ChatAYT-Lora-Assamble-Marcoroni-GGUF↗

  TheBloke

• EXAONE-3.0-7.8B-Instruct-GGUF↗

  ThomasBaruzier

• Falcon-H1-1.5B-Instruct↗

  tiiuae

• dla60x_c.in1k↗

  timm

• tf_mixnet_l.in1k↗

  timm