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Alternatives

Products that do what Recurser lib reduces GPT2-XL VRAM usage by 25% and runs it on Colab does

  1. 1RD
  2. 2L3

    Hi everyone, I'm kinda involved in some retrogaming and with some experiments I ran into the following question: "It would be possible to run transformer models bypassing the cpu/ram, connecting the gpu to the nvme?" This is the result of that question itself and some weekend vibecoding (it has the linked library repository in the readme as well), it seems to work, even on consumer gpus, it should work better on professional ones tho

    Feb 2026 · github.com

  3. 3AS
  4. 4EP

    2017 · instaguide.io

  5. 51T
  6. 6FT

    Aug 2026 · github.com

  7. 7
    crunr 106

    Launch and run any compute job on AWS with 1 command

    May 2026 · crunr.com

  8. 8AM
  9. 9AL
  10. 10GA
  11. 11RG

    2025 · github.com

  12. 12OS
  13. 13GP

    2021 · calcify.io

  14. 14AE
  15. 15OI
  16. 163M
  17. 17GB

    2016 · paperspace.com

  18. 18GK
  19. 19DA
  20. 20OS

    Posted before, but wanted to share if you want an open source alternative to OpenAI fine-tuning, give Unsloth a try! Phi 3.5 was just released, and is distilled from GPT4. Unsloth makes finetuning 2x faster, uses 70% less VRAM + has no accuracy degradations. We rewrite all backprop steps and reduce FLOPs and write everything in Triton (JIT low level CUDA). If you want to own the weights after fine-tuning, give Unsloth a spin! I have free Colabs and Kaggle notebooks as well at https://github.com/unslothai/unsloth

    2024 · colab.research.google.com

  21. 21RF
  22. 22NG
  23. 23ZA
  24. 24VV

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