Duplicate openai-community/gpt2 for ANEForge (weights unchanged, library_name: aneforge)

64-8bits.tflite

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64-fp16.tflite

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README.md

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+---
+library_name: aneforge
+license: mit
+base_model: openai-community/gpt2
+pipeline_tag: text-generation
+tags:
+- aneforge
+- apple-neural-engine
+---
+
+# GPT-2 (ANEForge)
+
+An unmodified duplicate of [`openai-community/gpt2`](https://huggingface.co/openai-community/gpt2), tagged for use with
+[**ANEForge**](https://github.com/sbryngelson/ANEForge) so the weights load and run directly on the
+Apple Neural Engine (no CoreML). Weights are byte-identical to the source; see the original repo for
+the model details. Licensed `mit` from the source.
+
+## Use with ANEForge
+
+```python
+import aneforge as af
+
+model = af.load_gpt2("aneforge/gpt2")
+print(model.generate_text("The Apple Neural Engine is", max_new_tokens=20))
+```
+
+ANEForge compiles the model's graph into a single ANE program and streams the weights from this repo
+via `huggingface_hub`. See the [docs](https://aneforge.readthedocs.io) and the
+[paper](https://arxiv.org/abs/2606.17090).

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "resid_pdrop": 0.1,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.26.0.dev0",
+  "_from_model_config": true
+}

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tokenizer_config.json

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+{"model_max_length": 1024}