openai/parameter-golf

• highreadme#1

  Add a concise, explicit mission statement to the top of the README

  Why:

  CURRENT

  OpenAI Model Craft Challenge: Parameter Golf is a challenge to train the best language model that fits in a 16MB artifact and trains in under 10 minutes on 8xH100s, evaluated by compression on the FineWeb validation set (tokenizer-agnostic, bits per byte).

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  This repository hosts **OpenAI Parameter Golf**, a competitive challenge for researchers to build the most memory-efficient and compact language models (LLMs) under strict size constraints (16MB artifact). Participants optimize for minimal loss given a fixed parameter budget, pushing innovation in novel LLM architectures and compression techniques.

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• mediumfaq#2

  Add a FAQ section to the README to clarify common misconceptions

  Why:

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  ## FAQ
  
  **Q: Is Parameter Golf a library or tool for training compact LLMs?**
  **A:** No, Parameter Golf is a competitive challenge and benchmark. It provides the framework and evaluation criteria for participants to submit their own novel compact LLM architectures and training methods, rather than offering a pre-built library.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  What tools help train compact language models for strict memory constraints, under 20MB?

  you: not recommended
  AI recommended (in order):

  1. Hugging Face Transformers
  2. bitsandbytes
  3. DistilBERT
  4. TinyBERT
  5. MobileBERT
  6. MiniLM
  7. GPT-2
  8. ONNX Runtime
  9. ONNX
  10. PyTorch
  11. TensorFlow
  12. TensorFlow Lite
  13. PyTorch Mobile
  14. TorchScript
  15. NVIDIA TensorRT
  16. DeepSpeed
  17. FairScale
  18. OpenVINO

  AI recommended 18 alternatives but never named openai/parameter-golf. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What are effective techniques for building highly compressed and memory-efficient generative AI models?

  you: not recommended
  AI recommended (in order):

  1. PyTorch
  2. TensorFlow Lite
  3. ONNX Runtime
  4. TensorFlow Model Optimization Toolkit
  5. DeepSpeed
  6. Hugging Face Transformers
  7. TensorFlow
  8. LoRA (Low-Rank Adaptation)
  9. PEFT (Parameter-Efficient Fine-Tuning) library
  10. MobileNet
  11. EfficientNet
  12. Sparse Transformers
  13. Reformer
  14. TinyLlama
  15. Phi-2
  16. OpenVINO
  17. NVIDIA TensorRT

  AI recommended 17 alternatives but never named openai/parameter-golf. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of openai/parameter-golf?

  pass
  ✓AI named openai/parameter-golf explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts openai/parameter-golf in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named openai/parameter-golf explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo openai/parameter-golf solve, and who is the primary audience?

  pass
  ✓AI named openai/parameter-golf explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?