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AI 모델 85003

• MiMo-V2.6-Pro-MOPD-GGUF↗

  ggml-org

• tinylaya-for-testing-gguf↗

  ggml-org

  Q8_0 GGUF of ggml-org/tinylaya-for-testing, a slice of convaiinnovations/laya for testing purposes only. The output is not meaningful. Do not use this model for anything other than testing a loader or a runtime.

• MiniCPM5-1B-Claude-Opus-Fable5-Thinking↗

  GnLOLot

• XYZAILab_XYZ-Aquila-mini-GGUF↗

  Guile

• tiny-random-Gemma2ForCausalLM↗

  hmellor

  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed]

• ponyRealism_v22MainVAE↗

  Ine007

• Intern-S2-Preview↗

  internlm

• Jeff-1.1-Medium↗

  jgeuter

• Qwen3.8-27B-NVFP4-vllm↗

  kekzle

• MiniLM-L6-danish-encoder↗

  KennethTM

  *New version available, trained on more data and otherwise identical KennethTM/MiniLM-L6-danish-encoder-v2* This is a lightweight (~22 M parameters) sentence-transformers model for Danish NLP: It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for tasks like clustering or semantic search. The model was not pre-trained from scratch but adapted from the English version of sentence-transformers/all-MiniLM-L6-v2 with a Danish tokenizer.