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AI 模型 84759

• tiny-llama-ultra-compact↗

  Ignaciohhhhggfgjfrffd

  La muestra completa se omite para ahorrar espacio. Longitud: `300` caracteres. Huella SHA256: `f7291e1c4f8bd374e29cd6307789fe437ce3dae7a67a40a9cfffcfa76bb1e0be`. Ejecuta `python Xd.py` con las dependencias indicadas para volver a entrenar y subir los artefactos automáticamente.

• Rubicon-Preview↗

  inclusionAI

• GLM-5.3-0.6B-A0.4B↗

  inference-optimization

• Dolphin3.0-Qwen2.5-3b-Q4_K_M-GGUF↗

  itlwas

• whisper-large-v3-turbo-cantonese↗

  JackyHoCL

• sft_gemma2_2b_layerdrop_indep_p005↗

  KexuanShi

• Kimi-Linear-48B-A3B-Base↗

  月之暗面 · Kimi

• Qwen3.8-27B-3bit-mlx↗

  leonsarmiento

• mdeberta-v3-base-kor-further↗

  lighthouse

  > 💡 아래 프로젝트는 KPMG Lighthouse Korea에서 진행하였습니다. > KPMG Lighthouse Korea에서는, Financial area의 다양한 문제들을 해결하기 위해 Edge Technology의 NLP/Vision AI를 모델링하고 있습니다. > https://kpmgkr.notion.site/

• llava-v1.5-13b↗

  liuhaotian

  **Model type:** LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved. **Where to send questions or comments about the model:** https://github.com/haotian-liu/LLaVA/issues