vilsonrodrigues commited on
Commit
359d2fb
1 Parent(s): 2bc333e

add official support by HF

Browse files
Files changed (1) hide show
  1. configuration_falcon.py +147 -0
configuration_falcon.py ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2023 the Falcon authors and HuggingFace Inc. team. All rights reserved.
3
+ #
4
+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
6
+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
10
+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+ """ Falcon configuration"""
16
+ from transformers.configuration_utils import PretrainedConfig
17
+ from transformers.utils import logging
18
+
19
+
20
+ logger = logging.get_logger(__name__)
21
+
22
+ FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP = {
23
+ "tiiuae/falcon-40b": "https://huggingface.co/tiiuae/falcon-40b/resolve/main/config.json",
24
+ "tiiuae/falcon-7b": "https://huggingface.co/tiiuae/falcon-7b/resolve/main/config.json",
25
+ }
26
+
27
+
28
+ class FalconConfig(PretrainedConfig):
29
+ r"""
30
+ This is the configuration class to store the configuration of a [`FalconModel`]. It is used to instantiate a Falcon
31
+ model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
32
+ defaults will yield a similar configuration to that of the
33
+ [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) architecture.
34
+
35
+ Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
36
+ documentation from [`PretrainedConfig`] for more information.
37
+
38
+
39
+ Args:
40
+ vocab_size (`int`, *optional*, defaults to 65024):
41
+ Vocabulary size of the Falcon model. Defines the number of different tokens that can be represented by the
42
+ `inputs_ids` passed when calling [`FalconModel`]
43
+ hidden_size (`int`, *optional*, defaults to 4544):
44
+ Dimension of the hidden representations.
45
+ num_hidden_layers (`int`, *optional*, defaults to 32):
46
+ Number of hidden layers in the Transformer decoder.
47
+ num_attention_heads (`int`, *optional*, defaults to 71):
48
+ Number of attention heads for each attention layer in the Transformer encoder.
49
+ initializer_range (`float`, *optional*, defaults to 0.02):
50
+ The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
51
+ use_cache (`bool`, *optional*, defaults to `True`):
52
+ Whether the model should return the last key/values attentions (not used by all models). Only relevant if
53
+ `config.is_decoder=True`.
54
+ layer_norm_epsilon (`float`, *optional*, defaults to 1e-5):
55
+ The epsilon used by the layer normalization layers.
56
+ hidden_dropout (`float`, *optional*, defaults to 0.0):
57
+ The dropout probability for MLP layers.
58
+ attention_dropout (`float`, *optional*, defaults to 0.0):
59
+ The dropout probability for attention layers.
60
+ num_kv_heads (`int`, *optional*):
61
+ Number of key-value heads to use per attention layer. If unset, defaults to the same value as
62
+ `num_attention_heads`.
63
+ alibi (`bool`, *optional*, defaults to `False`):
64
+ Whether to use ALiBi positional biases during self-attention.
65
+ new_decoder_architecture (`bool`, *optional*, defaults to `False`):
66
+ Whether to use the new (Falcon-40B) decoder architecture. If `True`, the `multi_query` and `parallel_attn`
67
+ arguments are ignored, as the new decoder always uses parallel attention.
68
+ multi_query (`bool`, *optional*, defaults to `True`):
69
+ Whether to use multi-query attention in the decoder. Ignored when `new_decoder_architecture` is `True`.
70
+ parallel_attn (`bool`, *optional*, defaults to `True`):
71
+ Whether to compute attention in parallel with the feedforward layer. If False, they are consecutive
72
+ instead, as in the original Transformer architecture. Ignored when `new_decoder_architecture` is `True`.
73
+ bias (`bool`, *optional*, defaults to `False`):
74
+ Whether to use bias on Linear layers.
75
+ bos_token_id (`int`, *optional*, defaults to 11):
76
+ The id of the "beginning-of-sequence" token.
77
+ eos_token_id (`int`, *optional*, defaults to 11):
78
+ The id of the "end-of-sequence" token.
79
+
80
+ Example:
81
+
82
+ ```python
83
+ >>> from transformers import FalconModel, FalconConfig
84
+
85
+ >>> # Initializing a small (2-layer) Falcon configuration
86
+ >>> configuration = FalconConfig(num_hidden_layers=2)
87
+
88
+ >>> # Initializing a model from the small configuration
89
+ >>> model = FalconModel(configuration)
90
+
91
+ >>> # Accessing the model configuration
92
+ >>> configuration = model.config
93
+ ```"""
94
+ model_type = "falcon"
95
+ keys_to_ignore_at_inference = ["past_key_values"]
96
+
97
+ def __init__(
98
+ self,
99
+ vocab_size=65024,
100
+ hidden_size=4544,
101
+ num_hidden_layers=32,
102
+ num_attention_heads=71,
103
+ layer_norm_epsilon=1e-5,
104
+ initializer_range=0.02,
105
+ use_cache=True,
106
+ hidden_dropout=0.0,
107
+ attention_dropout=0.0,
108
+ num_kv_heads=None,
109
+ alibi=False,
110
+ new_decoder_architecture=False,
111
+ multi_query=True,
112
+ parallel_attn=True,
113
+ bias=False,
114
+ bos_token_id=11,
115
+ eos_token_id=11,
116
+ **kwargs,
117
+ ):
118
+ self.vocab_size = vocab_size
119
+ # Backward compatibility with n_embed kwarg
120
+ n_embed = kwargs.pop("n_embed", None)
121
+ self.hidden_size = hidden_size if n_embed is None else n_embed
122
+ self.num_hidden_layers = num_hidden_layers
123
+ self.num_attention_heads = num_attention_heads
124
+ self.layer_norm_epsilon = layer_norm_epsilon
125
+ self.initializer_range = initializer_range
126
+ self.use_cache = use_cache
127
+ self.hidden_dropout = hidden_dropout
128
+ self.attention_dropout = attention_dropout
129
+
130
+ self.bos_token_id = bos_token_id
131
+ self.eos_token_id = eos_token_id
132
+ self.num_kv_heads = num_attention_heads if num_kv_heads is None else num_kv_heads
133
+ self.alibi = alibi
134
+ self.new_decoder_architecture = new_decoder_architecture
135
+ self.multi_query = multi_query # Ignored when new_decoder_architecture is True
136
+ self.parallel_attn = parallel_attn
137
+ self.bias = bias
138
+
139
+ super().__init__(bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs)
140
+
141
+ @property
142
+ def head_dim(self):
143
+ return self.hidden_size // self.num_attention_heads
144
+
145
+ @property
146
+ def rotary(self):
147
+ return not self.alibi