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AI モデル 84759

• Qwen2.5-14B-Instruct-unsloth-bnb-4bit↗

  unsloth

  Unsloth's Dynamic 4-bit Quants is selectively quantized, greatly improving accuracy over standard 4-bit. We have a free Google Colab Tesla T4 notebook for Qwen2.5 (7B) here: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb All notebooks are **beginner friendly**! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.

• simbert-base-chinese↗

  WangZeJun

• PickScore_v1↗

  yuvalkirstain

  This model is a scoring function for images generated from text. It takes as input a prompt and a generated image and outputs a score. It can be used as a general scoring function, and for tasks such as human preference prediction, model evaluation, image ranking, and more. See our paper Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation for more details. This model was finetuned from CLIP-H using the Pick-a-Pic dataset. - **Repository:** See the PickScore repo - **Paper:** Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation. - **Demo [optional]:** Huggingface Spaces demo for PickScore

• mpt-3b-8k-instruct-GGUF↗

  afrideva

• cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-n3nc-groot16-s2↗

  agurung

• OLMo-2-1124-7B-SFT↗

  allenai

• pocketllm-models↗

  AmareshHebbar

• PARD2-Llama-3.1-8B↗

  amd

• VibeVoice-Large↗

  aoi-ot

• translategemma-4b-it-GGUF↗

  aoiandroid