Upload folder using huggingface_hub (#4)

- Upload folder using huggingface_hub (9bdacd3ccefc215c9f95da7739acfbe2ccb6e736)

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/gemma-7b-it",
+  "_name_or_path": "Xenova/tiny-random-GemmaForCausalLM",
   "architectures": [
     "GemmaForCausalLM"
   ],
@@ -9,6 +9,7 @@
   "eos_token_id": 1,
   "head_dim": 2,
   "hidden_act": "gelu",
+  "hidden_activation": "gelu_pytorch_tanh",
   "hidden_size": 8,
   "initializer_range": 0.02,
   "intermediate_size": 16,
@@ -21,8 +22,7 @@
   "rms_norm_eps": 1e-06,
   "rope_scaling": null,
   "rope_theta": 10000.0,
-  "torch_dtype": "float32",
-  "transformers_version": "4.38.1",
+  "transformers_version": "4.42.0.dev0",
   "use_cache": true,
   "vocab_size": 256000
 }

generation_config.json

@@ -3,5 +3,5 @@
   "bos_token_id": 2,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.38.1"
+  "transformers_version": "4.42.0.dev0"
 }

onnx/model.onnx

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onnx/model_bnb4.onnx

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onnx/model_fp16.onnx

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onnx/model_int8.onnx

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onnx/model_q4.onnx

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onnx/model_quantized.onnx

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onnx/model_uint8.onnx

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quantize_config.json

@@ -0,0 +1,135 @@
+{
+    "fp16": {},
+    "q8": {
+        "per_model_config": {
+            "model": {
+                "op_types": [
+                    "Add",
+                    "Cast",
+                    "Concat",
+                    "Constant",
+                    "ConstantOfShape",
+                    "Cos",
+                    "Div",
+                    "Equal",
+                    "Expand",
+                    "Gather",
+                    "Greater",
+                    "Identity",
+                    "MatMul",
+                    "Mul",
+                    "Neg",
+                    "Pow",
+                    "Range",
+                    "ReduceMean",
+                    "Reshape",
+                    "ScatterND",
+                    "Shape",
+                    "Sin",
+                    "Slice",
+                    "Softmax",
+                    "Sqrt",
+                    "Tanh",
+                    "Transpose",
+                    "Trilu",
+                    "Unsqueeze",
+                    "Where"
+                ],
+                "weight_type": "QInt8"
+            }
+        },
+        "per_channel": true,
+        "reduce_range": true
+    },
+    "int8": {
+        "per_model_config": {
+            "model": {
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+                    "Add",
+                    "Cast",
+                    "Concat",
+                    "Constant",
+                    "ConstantOfShape",
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+                    "Trilu",
+                    "Unsqueeze",
+                    "Where"
+                ],
+                "weight_type": "QInt8"
+            }
+        },
+        "per_channel": true,
+        "reduce_range": true
+    },
+    "uint8": {
+        "per_model_config": {
+            "model": {
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+                    "Add",
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+                    "Constant",
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+                    "Transpose",
+                    "Trilu",
+                    "Unsqueeze",
+                    "Where"
+                ],
+                "weight_type": "QUInt8"
+            }
+        },
+        "per_channel": true,
+        "reduce_range": true
+    },
+    "q4": {
+        "block_size": 32,
+        "is_symmetric": true,
+        "accuracy_level": null
+    },
+    "bnb4": {
+        "block_size": 64,
+        "quant_type": 1
+    }
+}

tokenizer.json

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