Upload config
Browse files- config.json +2 -7
- config.py +1 -1
config.json
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{
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"architectures": [
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"BharataiForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "config.BharataiConfig"
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"AutoModelForCausalLM": "model.BharataiForCausalLM"
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},
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"bos_token_id": 1,
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"eos_token_id": 2,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"model_type": "
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"num_key_value_heads": 8,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.36.0.dev0",
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"use_cache": true,
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"vocab_size": 5000
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{
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "config.BharataiConfig"
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},
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"bos_token_id": 1,
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"eos_token_id": 2,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"model_type": "BharataiForCausalLM",
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"num_key_value_heads": 8,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"transformers_version": "4.36.0.dev0",
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"use_cache": true,
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"vocab_size": 5000
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config.py
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@@ -78,7 +78,7 @@ class BharataiConfig(PretrainedConfig):
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```"""
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model_type = "
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keys_to_ignore_at_inference = ["past_key_values"]
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def __init__(
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```"""
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model_type = "BharataiForCausalLM"
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keys_to_ignore_at_inference = ["past_key_values"]
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def __init__(
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