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Model: xaitalk/gpt2-mirror
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: mit
+tags:
+- mirror
+- xai
+- text-generation
+- gpt2
+- language-model
+---
+
+# GPT-2 (OpenAI / HuggingFace) — xaitalk mirror
+
+This is a **bit-identical mirror** of the canonical artifact from OpenAI / HuggingFace.
+
+The mirror exists only as a resilience fallback for the
+[xaitalk](https://github.com/xaitalk/xaitalk) library — the upstream remains
+authoritative. All credit and licensing for the model belong to the original
+authors.
+
+## Attribution
+
+| Field | Value |
+|---|---|
+| **Original authors** | OpenAI / HuggingFace |
+| **Upstream (authoritative)** | https://huggingface.co/openai-community/gpt2 |
+| **Source repo** | https://github.com/openai/gpt-2 |
+| **Paper** | https://openai.com/research/better-language-models (Radford et al. 2019) |
+| **License** | `mit` (inherited from upstream — please respect upstream's terms) |
+| **Mirror file** | `pytorch_model.bin` |
+| **SHA-256** | `7c5d3f4b8b76583b422fcb9189ad6c89d5d97a094541ce8932dce3ecabde1421` |
+| **Size** | 548,118,077 bytes (522.7 MB) |
+
+## How xaitalk loads this file
+
+```python
+from xaitalk.hub import ensure_model
+weights_path = ensure_model("gpt2")
+# Tries the canonical upstream first; falls back to this xaitalk mirror
+# automatically if upstream is unreachable.
+```
+
+## Why mirror?
+
+xaitalk's research-grade reproducibility claim relies on every weight file
+being recoverable years from now. We mirror artifacts ≤ 2.5 GB under
+`xaitalk/*-mirror` so the pipeline survives upstream URL changes, repo
+renames, or deletions. Bit-level parity with the canonical is asserted in
+CI via `python -m xaitalk.hub verify-mirrors`.
+
+## Citation
+
+If you use this model, **please cite the original paper** (not the mirror):
+
+```
+https://openai.com/research/better-language-models (Radford et al. 2019)
+```

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
+}

flax_model.msgpack

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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
+}

gpt2_attnlrp_weights.npz

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pytorch_model.bin

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tf_model.h5

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tokenizer_config.json

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+{"model_max_length": 1024}