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AI モデル 84757

• magnum-72b-v1-GGUF↗

  bartowski

• nvidia_OpenReasoning-Nemotron-7B-GGUF↗

  bartowski

• cohere-transcribe-03-2026-mlx-8bit↗

  beshkenadze

• vocos-mel-22khz↗

  BSC-LT

• DreamFast-qwen3-4b-heretic↗

  CCSSNE

• TokForge-Bonsai-2-27B-GGUF↗

  darkmaniac7

• defog.sqlcoder-7b-2-GGUF↗

  DevQuasar-13

• tcrt5_ft_tcrdb↗

  dkarthikeyan1

• pythia-160m-seed3↗

  EleutherAI

  This model is part of the **PolyPythias** suite, an extension of the Pythia project providing 45 additional training runs across 5 model sizes with 9 different random seeds each. These models enable systematic study of training stability and reproducibility in language models. Oskar van der Wal, Pietro Lesci, Max Muller-Eberstein, Naomi Saphra, Hailey Schoelkopf, Willem Zuidema, and Stella Biderman. *ICLR 2025*. The decoupled seed variants (data-seed and weight-seed) allow researchers to separately study the effects of data ordering vs. weight initialization.

• qwen3-4b-base↗

  Emulated-Inc