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AI 모델 84999

• roberta-tagalog-base↗

  jcblaise

• jina-code-embeddings-0.5b↗

  jinaai

  `jina-code-embeddings` is an embedding model for code retrieval. The model supports various types of code retrieval (text-to-code, code-to-code, code-to-text, code-to-completion) and technical question answering across 15+ programming languages. Built on Qwen/Qwen2.5-Coder-0.5B, `jina-code-embeddings-0.5b` features: - **Multilingual support** (15+ programming languages) and compatibility with a wide range of domains, including web development, software development, machine learning, data science, and educational coding problems. - **Task-specific instruction prefixes** for NL2Code, Code2Code, Code2NL, Code2Completion, and Technical QA, which can be selected at inference time. - **Flexible embedding size**: dense embeddings are 896-dimensional by default but can be truncated to as low as 64 with minimal performance loss.

• jina-embeddings-v3-small-ci↗

  jinaai

• Xyntetik-Kvist-14B↗

  Joakimpalm-Zen

• yolov8m-pcb-defect-segmentation↗

  keremberke

• abliterated-minicpm5-2b-v3↗

  KidIkaros

• Kimi K2.5 (Reasoning)↗

  Kimi

• gliner-pii-small-v1.0↗

  knowledgator

• Qwen3.5-9B-Python-Coder-GGUF↗

  lainlives

• setfit-ethos-multilabel-example↗

  lewtun