전체 검색

AI 모델 85003

• Whisper-Base-En↗

  qualcomm

• Qwen3.5-35B-A3B-AWQ↗

  QuantTrio

  This repo quantizes the model using data-free quantization (no calibration dataset required). Note: When launching with TP=8, include `--enable-expert-parallel`; otherwise the expert tensors wouldn’t be evenly sharded across GPU devices. > [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

• LFM2.5-2.6B-CyberSec↗

  reaperdoesntknow

• Muse-Glimmer-30B↗

  RedHatAI

• Pixar↗

  Remade-AI

• dat-lequoc_-_fast-apply-16bit-v0.v15.4-Qwen2.5-Coder-1.5B-Instruct-gguf↗

  RichardErkhov

• Srijith-rkr_-_deepseek_base_1e-4_NO_cot_only_failed_samples_3_epoch-gguf↗

  RichardErkhov

• sot-phase1-wikitext103-dense-seed42-tc017↗

  sbartlett97

• KR-ELECTRA-generator↗

  snunlp

  This is a release of a Korean-specific ELECTRA model with comparable or better performances developed by the Computational Linguistics Lab at Seoul National University. Our model shows remarkable performances on tasks related to informal texts such as review documents, while still showing comparable results on other kinds of tasks. We pre-trained our KR-ELECTRA model following a base-scale model of ELECTRA. We trained the model based on Tensorflow-v1 using a v3-8 TPU of Google Cloud Platform. We followed the training parameters of the base-scale model of ELECTRA.

• clip-vit-base-patch16_stl10↗

  tanganke