Upload config
Browse files- config.json +2 -7
- configuration_mamba.py +2 -0
config.json
CHANGED
@@ -1,11 +1,6 @@
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{
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"architectures": [
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"MambaModel"
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],
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"auto_map": {
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"AutoConfig": "configuration_mamba.MambaConfig"
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"AutoModel": "modeling_mamba.MambaModel",
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"AutoModelForCausalLM": "modeling_mamba.MambaModelForCausalLM"
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},
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"bias": false,
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"conv_bias": true,
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@@ -15,11 +10,11 @@
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"d_state": 16,
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"dt_rank": 48,
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"expand": 2,
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"initializer_range": 0.02,
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"model_type": "mamba",
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"n_layer": 24,
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"pad_vocab_size_multiple": 8,
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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"vocab_size": 50280
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}
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{
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"auto_map": {
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"AutoConfig": "configuration_mamba.MambaConfig"
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},
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"bias": false,
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"conv_bias": true,
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"d_state": 16,
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"dt_rank": 48,
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"expand": 2,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"model_type": "mamba",
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"n_layer": 24,
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"pad_vocab_size_multiple": 8,
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"transformers_version": "4.37.2",
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"vocab_size": 50280
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}
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configuration_mamba.py
CHANGED
@@ -35,6 +35,8 @@ class MambaConfig(PretrainedConfig):
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self.initializer_range = initializer_range
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self.bias = bias
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if self.dt_rank == "auto":
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self.dt_rank = math.ceil(self.d_model / 16)
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self.initializer_range = initializer_range
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self.bias = bias
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self.hidden_size = self.d_model
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if self.dt_rank == "auto":
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self.dt_rank = math.ceil(self.d_model / 16)
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