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kashifr

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  1. Carbon-X: the best open DNA model (huggingface.co)
    2 points 0
  2. Carbon-A: DNA annotation model used to discover 566M new gene candidates (huggingface.co)
    3 points 0
  3. Tokenizers v1 (huggingface-tokenizers-v1.static.hf.space)
    2 points 0
  4. Carbon: Autoregressive Genomic Foundation Model (huggingface.co)
    7 points 1
  5. The ultimate guide to RL environments: building and scaling them in the LLM era (huggingface.co)
    7 points 0
  6. Distilling 100B+ Models 40x Faster with TRL (huggingface.co)
    13 points 0
  7. Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries (huggingface.co)
    2 points 0
  8. Transformers V5 is out! (github.com)
    10 points 0
  9. The Smol Training Playbook: The Secrets to Building World-Class LLMs (huggingface.co)
    265 points 6
  10. Unlocking On-Policy Distillation for Any Model Family (huggingface.co)
    6 points 1
  11. Transformers 4.55 New OpenAI GPT OSS (github.com)
    2 points 1
  12. Smollm3: Smol, multilingual, long-context reasoner LLM (huggingface.co)
    388 points 17
  13. Epic vs. Apple (twitter.com)
    7 points 0
  14. AIMO (AI Math Olympiad) progress prize winning solution (huggingface.co)
    9 points 0
  15. MaPO: A reference-free alignment technique for diffusion models (mapo-t2i.github.io)
    2 points 1
  16. HuggingFace Training Cluster as a Service (huggingface.co)
    101 points 45
  17. HuggingFace 235M series D at a $4.5B valuation (twitter.com)
    3 points 0
  18. Fine-tune Llama 2 with DPO (huggingface.co)
    3 points 0
  19. StackLlama: A hands-on guide to train LlaMa with RLHF (huggingface.co)
    165 points 38
  20. HuggingFace Diffusers 0.2 with Stable Diffusion pipeline (github.com)
    2 points 1
  21. Diffusers: Modular Diffusion model library from HuggingFace (github.com)
    47 points 5
  22. Generic Neural Elastic Search (gnes.ai)
    4 points 0
  23. PyTorch 1.0 is out (github.com)
    470 points 70
  24. Pytorch 0.4.0 is out (github.com)
    36 points 7
  25. Morris Algorithm (2014) (page.mi.fu-berlin.de)
    43 points 4