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README.md

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+---
+pipeline_tag: text-generation
+license: mit
+base_model: openai-community/gpt2-large
+library_name: kerasformers
+language:
+- en
+tags:
+- keras
+- kerasformers
+- gpt2
+- gpt-2
+- text-generation
+- pytorch
+- jax
+- tf
+---
+
+# Run GPT-2 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--2-blue)](https://imvision12.github.io/KerasFormers/gpt2/)
+
+# kerasformers/gpt2_large
+
+Paper: [Language Models are Unsupervised Multitask Learners (Radford et al., 2019)](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)
+
+GPT-2 is OpenAI's decoder-only transformer language model trained on WebText:
+learned absolute position embeddings, pre-LayerNorm blocks, `gelu_new`
+activations, a tied output head, and a byte-level BPE tokenizer. This is the
+**774M** variant, a base completion model (no chat template).
+
+For more details, see the upstream [model card](https://huggingface.co/openai-community/gpt2-large).
+
+Pure-**Keras 3** conversion of [`openai-community/gpt2-large`](https://huggingface.co/openai-community/gpt2-large) 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.gpt2 import GPT2TextGenerate, GPT2Tokenizer
+
+model = GPT2TextGenerate.from_weights("kerasformers/gpt2_large")
+tokenizer = GPT2Tokenizer.from_weights("kerasformers/gpt2_large")
+
+inputs = tokenizer("The meaning of life is")
+outputs = model.generate(**inputs, max_new_tokens=40)
+print(tokenizer.decode(outputs[0]))
+```
+
+All GPT-2 sizes load the same way with `from_weights("kerasformers/<variant>")`:
+
+| Variant | Hub | Params |
+|---|---|---|
+| `gpt2` | [`kerasformers/gpt2`](https://huggingface.co/kerasformers/gpt2) | 124M |
+| `gpt2_medium` | [`kerasformers/gpt2_medium`](https://huggingface.co/kerasformers/gpt2_medium) | 355M |
+| `gpt2_large` | [`kerasformers/gpt2_large`](https://huggingface.co/kerasformers/gpt2_large) | 774M |
+| `gpt2_xl` | [`kerasformers/gpt2_xl`](https://huggingface.co/kerasformers/gpt2_xl) | 1.5B |
+
+## Tips
+
+- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- This is a base completion model: it continues a prompt and is not
+  instruction-tuned.
+- See the [GPT-2 docs](https://imvision12.github.io/KerasFormers/gpt2/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- Upstream safetensors still work via the `hf:` prefix, e.g.
+  `GPT2TextGenerate.from_weights("hf:openai-community/gpt2-large")`.
+
+## Special Thanks
+
+A huge thank you to the OpenAI GPT-2 authors for creating and releasing these models.
+
+License: MIT, inherited from the upstream OpenAI GPT-2 release.

kf_config.json

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+{
+  "library_name": "kerasformers",
+  "kerasformers_version": "1.2.1",
+  "model_module": "kerasformers.models.gpt2",
+  "model_class": "GPT2Model",
+  "variant": "gpt2_large",
+  "weights": "model.weights.json",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "gpt2",
+  "text_config": {
+    "vocab_size": 50257,
+    "embed_dim": 1280,
+    "mlp_dim": 5120,
+    "num_layers": 36,
+    "num_heads": 20,
+    "max_position_embeddings": 1024,
+    "norm_eps": 1e-05,
+    "tie_embeddings": true
+  }
+}

model.weights.h5

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