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llama2.c-stories15M

Text Generation
Transformers.js
PyTorch
ONNX
Transformers
llama
Model card Files Community
2
llama2.c-stories15M
File size: 2,661 Bytes 
1219d33
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
    "per_channel": true,
    "reduce_range": true,
    "per_model_config": {
        "decoder_model_merged": {
            "op_types": [
                "Unsqueeze",
                "Sigmoid",
                "Concat",
                "Expand",
                "Transpose",
                "Shape",
                "Range",
                "Constant",
                "Neg",
                "If",
                "Cast",
                "Softmax",
                "Gather",
                "Add",
                "Equal",
                "Reshape",
                "MatMul",
                "ConstantOfShape",
                "Div",
                "Slice",
                "Sub",
                "Mul",
                "Where",
                "Less",
                "Pow",
                "ReduceMean",
                "Sqrt",
                "Squeeze",
                "Identity"
            ],
            "weight_type": "QInt8"
        },
        "decoder_with_past_model": {
            "op_types": [
                "Unsqueeze",
                "Sigmoid",
                "Concat",
                "Expand",
                "Transpose",
                "Shape",
                "Range",
                "Constant",
                "Neg",
                "If",
                "Cast",
                "Softmax",
                "Gather",
                "Add",
                "Equal",
                "Reshape",
                "MatMul",
                "ConstantOfShape",
                "Div",
                "Slice",
                "Sub",
                "Mul",
                "Where",
                "Pow",
                "ReduceMean",
                "Sqrt",
                "Squeeze",
                "Identity"
            ],
            "weight_type": "QInt8"
        },
        "decoder_model": {
            "op_types": [
                "Unsqueeze",
                "Sigmoid",
                "Concat",
                "Expand",
                "Transpose",
                "Shape",
                "Range",
                "Constant",
                "Neg",
                "If",
                "Cast",
                "Softmax",
                "Gather",
                "Add",
                "Equal",
                "Reshape",
                "MatMul",
                "ConstantOfShape",
                "Div",
                "Slice",
                "Sub",
                "Mul",
                "Where",
                "Less",
                "Pow",
                "ReduceMean",
                "Sqrt",
                "Squeeze",
                "Identity"
            ],
            "weight_type": "QInt8"
        }
    }
}