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README.md

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+---
+pipeline_tag: text-generation
+license: mit
+base_model: openai-community/openai-gpt
+library_name: kerasformers
+language:
+- en
+tags:
+- keras
+- kerasformers
+- gpt
+- openai-gpt
+- text-generation
+- pytorch
+- jax
+- tf
+---
+
+# Run GPT with Keras 3: JAX, PyTorch, or TensorFlow
+
+[![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-black?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-GPT-blue)](https://imvision12.github.io/KerasFormers/gpt/)
+
+# kerasformers/gpt
+
+Paper: [Improving Language Understanding by Generative Pre-Training (Radford et al., 2018)](https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf)
+
+GPT (the original GPT-1) is OpenAI's first generative pre-trained transformer: a
+12-layer decoder-only model with learned position embeddings (512-token context),
+`gelu_new` activations, and a byte-pair-encoding tokenizer, trained on BookCorpus.
+This is the **117M** base completion model (no chat template).
+
+For more details, see the upstream [model card](https://huggingface.co/openai-community/openai-gpt).
+
+Pure-**Keras 3** conversion of [`openai-community/openai-gpt`](https://huggingface.co/openai-community/openai-gpt) for
+[kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on
+**TensorFlow / Torch / JAX**.
+
+## Quick start
+
+```python
+import os
+os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
+
+from kerasformers.models.gpt import GptTextGenerate, GptTokenizer
+
+model = GptTextGenerate.from_weights("kerasformers/gpt")
+tokenizer = GptTokenizer.from_weights("kerasformers/gpt")
+
+inputs = tokenizer("the meaning of life is")
+outputs = model.generate(**inputs, max_new_tokens=40)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Tips
+
+- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Context length is 512 tokens; this is a base completion model, not
+  instruction-tuned.
+- See the [GPT docs](https://imvision12.github.io/KerasFormers/gpt/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- Upstream safetensors still work via the `hf:` prefix, e.g.
+  `GptTextGenerate.from_weights("hf:openai-community/openai-gpt")`.
+
+## Special Thanks
+
+A huge thank you to the OpenAI GPT authors for creating and releasing this model.
+
+License: MIT, inherited from the upstream OpenAI GPT release.

kf_config.json

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+{
+  "library_name": "kerasformers",
+  "kerasformers_version": "1.2.1",
+  "model_module": "kerasformers.models.gpt",
+  "model_class": "GptModel",
+  "variant": "gpt",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "openai-gpt",
+  "text_config": {
+    "vocab_size": 40478,
+    "embed_dim": 768,
+    "mlp_dim": 3072,
+    "num_layers": 12,
+    "num_heads": 12,
+    "max_position_embeddings": 512,
+    "norm_eps": 1e-05,
+    "tie_embeddings": true
+  }
+}

model.weights.h5

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