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README.md

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+---
+base_model:
+- gpt2
+---
+
+# gpt2 (Quantized)
+
+## Description
+This model is a quantized version of the original model `gpt2`. It has been quantized using int8_weight_only quantization with torchao.
+
+## Quantization Details
+- **Quantization Type**: int8_weight_only
+- **Group Size**: None
+
+## Usage
+You can use this model in your applications by loading it directly from the Hugging Face Hub:
+
+```python
+from transformers import AutoModel
+
+model = AutoModel.from_pretrained("gpt2")

config.json

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+{
+  "_name_or_path": "gpt2",
+  "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_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "quantization_config": {
+    "modules_to_not_convert": null,
+    "quant_method": "torchao",
+    "quant_type": "int8_weight_only",
+    "quant_type_kwargs": {}
+  },
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "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
+    }
+  },
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.0.dev0",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.46.0.dev0"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:088f4ab871f22574ab8b7eed7ff3e0a8d235ddf76d430acdd5663bc399eda64a
+size 248925978