[
  {
    "id": "1965267778476060798",
    "login": "PythonHub",
    "url": "https://x.com/PythonHub/status/1965267778476060798",
    "text": "GitHub - Mega4alik/ollm oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch. ~$200 consumer GPU with 8GB VRAM. Mega4alik/ollm",
    "source": "google"
  },
  {
    "id": "1972720815839052267",
    "login": "Marktechpost",
    "url": "https://x.com/Marktechpost/status/1972720815839052267",
    "text": "Meet oLLM: A Lightweight Python Library that brings 100K ... oLLM is a lightweight Python library (Transformers/PyTorch) that enables large-context inference on single 8 GB consumer NVIDIA GPUs by ...",
    "source": "google"
  },
  {
    "id": "2049423686927532301",
    "login": "tom_doerr",
    "url": "https://x.com/tom_doerr/status/2049423686927532301",
    "text": "Run large LLMs offline on low VRAM GPUs https://t.co ... Run large LLMs offline on low VRAM GPUs github.com/Mega4alik/ollm Tom",
    "source": "google"
  },
  {
    "id": "2027327659026387159",
    "login": "tom_doerr",
    "url": "https://x.com/tom_doerr/status/2027327659026387159",
    "text": "Inference for large-context models on consumer GPUs https://t.co ... Tom Dörr. ✓. tom_doerr. Feb 27. Inference for large-context models on consumer GPUs github.com/Mega4alik/ollm · Tom Dörr's Image on X.",
    "source": "google"
  },
  {
    "id": "1970518753894138309",
    "login": "victormustar",
    "url": "https://x.com/victormustar/status/1970518753894138309",
    "text": "at 0.5tok/second but still :) at 0.5tok/second but still :) GitHub - Mega4alik/ollm. github.com. 1. 0. 0. 518 · · Explore Trending StoriesGo to HomeSearch XNews.",
    "source": "google"
  }
]