numpyGPT

A from-scratch GPT built with NumPy and Python’s standard library. No autograd, no frameworks: every layer is re-implemented with its own forward and backward pass. Gradients are computed manually, updates are transparent, and every operation is spelled out. (by codiceSpaghetti)
Review Education Gpt Numpy Transformers
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numpyGPT

  1. gpt-neo

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    Discontinued An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

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  3. RWKV-LM

    85 numpyGPT VS RWKV-LM

    RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

  4. marqo

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    Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

  5. TrAVis

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  6. safe-rlhf

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  7. lorax

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  8. LLaMA-Factory

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1
15
8.5
15 days ago

The primary programming language of numpyGPT is Python.

Popular Comparisons

  1. numpyGPT VS gpt-neo
  2. numpyGPT VS RWKV-LM
  3. numpyGPT VS marqo
  4. numpyGPT VS TrAVis
  5. numpyGPT VS safe-rlhf
  6. numpyGPT VS lorax
  7. numpyGPT VS LLaMA-Factory

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