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AI 모델 85003

• R3-rerank-0.6b↗

  腾讯

• ralph-crowns↗

  RalphLabsAI

• DistilQwen3-1.7B-uncensored↗

  reaperdoesntknow

• allknowingroger_-_CalmExperiment-7B-slerp-gguf↗

  RichardErkhov

• BSC-LT_-_salamandra-2b-instruct-gguf↗

  RichardErkhov

• vicgalle_-_Configurable-Hermes-3-Llama-3.1-8B-gguf↗

  RichardErkhov

• OLMo-2-2.7B-Exp-Unlearning↗

  sbordt

• Dolphin-2.2-Yi-34B-GGUF↗

  second-state

• multi-qa-MiniLM-L6-cos-v1↗

  sentence-transformers

  This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and was designed for **semantic search**. It has been trained on 215M (question, answer) pairs from diverse sources. For an introduction to semantic search, have a look at: SBERT.net - Semantic Search Using this model becomes easy when you have sentence-transformers installed: 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 correct pooling-operation on-top of the contextualized word embeddings.

• Sentie1.0-3B-Claude-Fable-5-GPT5.2-Sol-Kimi-K3-GLM-5.2-GGUF↗

  SentieAI