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- config.json +72 -0
- configuration_minicpm.py +202 -0
- global_step68166/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt +3 -0
- global_step68166/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt +3 -0
config.json
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{
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"_name_or_path": "/fs/archive/share/yulan/data/aa_mini/output/minicpm-2B-final-stage19/checkpoint-184750",
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"architectures": [
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"MiniCPMForCausalLM"
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],
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"auto_map": {
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"AutoConfig": "configuration_minicpm.MiniCPMConfig",
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"AutoModel": "modeling_minicpm.MiniCPMModel",
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"AutoModelForCausalLM": "modeling_minicpm.MiniCPMForCausalLM",
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"AutoModelForSeq2SeqLM": "modeling_minicpm.MiniCPMForCausalLM",
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"AutoModelForSequenceClassification": "modeling_minicpm.MiniCPMForSequenceClassification"
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},
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"attention_bias": true,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dim_model_base": 1920,
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"dim_model_base_attn": 64,
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"dim_model_base_init": null,
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"dim_model_base_lmh": 1,
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"dim_model_base_logits": 1920.0,
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"dim_model_base_lr": 256.0,
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+
"down_proj_alpha": 0.03450327796711771,
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"embed_tokens_alpha": 1,
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"embedding_ln": false,
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"embedding_rmsln": false,
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"eos_token_id": 2,
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"gate_up_proj_alpha": 0.3651483716701107,
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+
"gradient_checkpointing_step": 11,
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"hidden_act": "silu",
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"hidden_size": 1920,
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"hidden_states_shrink": 0.18708286933869706,
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"init_scale_o": 1,
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"initializer_range": 5e-05,
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+
"input_layernorm_alpha": 1.0,
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"intermediate_size": 4800,
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"k_proj_alpha": 0.3651483716701107,
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"layer_norm_eps": 1e-06,
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"lm_head_alpha": 1.0,
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"ln_scale": 1,
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"max_position_embeddings": 4096,
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"model_reproduce": "transformer",
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"model_type": "minicpm",
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"norm_alpha": 1.0,
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+
"num_attention_heads": 30,
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+
"num_epochs_trained_before_this_epoch": 18.0,
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+
"num_hidden_layers": 56,
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+
"num_key_value_heads": 6,
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+
"num_steps_trained_before_this_epoch": 175608,
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+
"o_proj_alpha": 0.03450327796711771,
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+
"post_attention_layernorm_alpha": 1.0,
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+
"q_proj_alpha": 0.3651483716701107,
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+
"qk_layernorm": false,
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+
"rms_norm_eps": 1e-06,
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+
"rms_type": "llama",
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+
"rope_scaling": null,
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"rope_theta": 10000.0,
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"scale_emb": 10.0,
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"shrink_alpha": 1,
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+
"sliding_window": null,
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+
"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"use_emb_alpha": true,
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"use_liger": true,
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+
"use_norm_alpha": false,
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+
"use_sliding_window": false,
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+
"v_proj_alpha": 0.3651483716701107,
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+
"vocab_size": 99000,
|
70 |
+
"wesar_weights": false,
|
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+
"z_loss": 0.0001
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+
}
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configuration_minicpm.py
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# coding=utf-8
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2 |
+
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
|
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+
#
|
4 |
+
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
|
5 |
+
# and OPT implementations in this library. It has been modified from its
|
6 |
+
# original forms to accommodate minor architectural differences compared
|
7 |
+
# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
|
8 |
+
#
|
9 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
10 |
+
# you may not use this file except in compliance with the License.
|
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+
# You may obtain a copy of the License at
|
12 |
+
#
|
13 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
14 |
+
#
|
15 |
+
# Unless required by applicable law or agreed to in writing, software
|
16 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
17 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
18 |
+
# See the License for the specific language governing permissions and
|
19 |
+
# limitations under the License.
|
20 |
+
""" MiniCPM model configuration"""
|
21 |
+
|
22 |
+
from transformers.configuration_utils import PretrainedConfig
|
23 |
+
from transformers.utils import logging
|
24 |
+
|
25 |
+
|
26 |
+
logger = logging.get_logger(__name__)
|
27 |
+
|
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+
MINICPM_PRETRAINED_CONFIG_ARCHIVE_MAP = {}
|
29 |
+
|
30 |
+
|
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+
class MiniCPMConfig(PretrainedConfig):
|
32 |
+
r"""
|
33 |
+
This is the configuration class to store the configuration of a [`MiniCPMModel`]. It is used to instantiate an MiniCPM
|
34 |
+
model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
|
35 |
+
defaults will yield a similar configuration to that of the MiniCPM-7B.
|
36 |
+
|
37 |
+
Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
|
38 |
+
documentation from [`PretrainedConfig`] for more information.
|
39 |
+
|
40 |
+
|
41 |
+
Args:
|
42 |
+
vocab_size (`int`, *optional*, defaults to 32000):
|
43 |
+
Vocabulary size of the MiniCPM model. Defines the number of different tokens that can be represented by the
|
44 |
+
`inputs_ids` passed when calling [`MiniCPMModel`]
|
45 |
+
hidden_size (`int`, *optional*, defaults to 4096):
|
46 |
+
Dimension of the hidden representations.
|
47 |
+
intermediate_size (`int`, *optional*, defaults to 11008):
|
48 |
+
Dimension of the MLP representations.
|
49 |
+
num_hidden_layers (`int`, *optional*, defaults to 32):
|
50 |
+
Number of hidden layers in the Transformer decoder.
|
51 |
+
num_attention_heads (`int`, *optional*, defaults to 32):
|
52 |
+
Number of attention heads for each attention layer in the Transformer decoder.
|
53 |
+
num_key_value_heads (`int`, *optional*):
|
54 |
+
This is the number of key_value heads that should be used to implement Grouped Query Attention. If
|
55 |
+
`num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if
|
56 |
+
`num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When
|
57 |
+
converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed
|
58 |
+
by meanpooling all the original heads within that group. For more details checkout [this
|
59 |
+
paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to
|
60 |
+
`num_attention_heads`.
|
61 |
+
hidden_act (`str` or `function`, *optional*, defaults to `"silu"`):
|
62 |
+
The non-linear activation function (function or string) in the decoder.
|
63 |
+
max_position_embeddings (`int`, *optional*, defaults to 2048):
|
64 |
+
The maximum sequence length that this model might ever be used with. MiniCPM 1 supports up to 2048 tokens,
|
65 |
+
MiniCPM 2 up to 4096, CodeMiniCPM up to 16384.
|
66 |
+
initializer_range (`float`, *optional*, defaults to 0.02):
|
67 |
+
The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
|
68 |
+
rms_norm_eps (`float`, *optional*, defaults to 1e-06):
|
69 |
+
The epsilon used by the rms normalization layers.
|
70 |
+
use_cache (`bool`, *optional*, defaults to `True`):
|
71 |
+
Whether or not the model should return the last key/values attentions (not used by all models). Only
|
72 |
+
relevant if `config.is_decoder=True`.
|
73 |
+
pad_token_id (`int`, *optional*):
|
74 |
+
Padding token id.
|
75 |
+
bos_token_id (`int`, *optional*, defaults to 1):
|
76 |
+
Beginning of stream token id.
|
77 |
+
eos_token_id (`int`, *optional*, defaults to 2):
|
78 |
+
End of stream token id.
|
79 |
+
pretraining_tp (`int`, *optional*, defaults to 1):
|
80 |
+
Experimental feature. Tensor parallelism rank used during pretraining. Please refer to [this
|
81 |
+
document](https://huggingface.co/docs/transformers/parallelism) to understand more about it. This value is
|
82 |
+
necessary to ensure exact reproducibility of the pretraining results. Please refer to [this
|
83 |
+
issue](https://github.com/pytorch/pytorch/issues/76232).
|
84 |
+
tie_word_embeddings (`bool`, *optional*, defaults to `False`):
|
85 |
+
Whether to tie weight embeddings
|
86 |
+
rope_theta (`float`, *optional*, defaults to 10000.0):
|
87 |
+
The base period of the RoPE embeddings.
|
88 |
+
rope_scaling (`Dict`, *optional*):
|
89 |
+
Dictionary containing the scaling configuration for the RoPE embeddings. Currently supports two scaling
|
90 |
+
strategies: linear and dynamic. Their scaling factor must be a float greater than 1. The expected format is
|
91 |
+
`{"type": strategy name, "factor": scaling factor}`. When using this flag, don't update
|
92 |
+
`max_position_embeddings` to the expected new maximum. See the following thread for more information on how
|
93 |
+
these scaling strategies behave:
|
94 |
+
https://www.reddit.com/r/LocalMiniCPM/comments/14mrgpr/dynamically_scaled_rope_further_increases/. This is an
|
95 |
+
experimental feature, subject to breaking API changes in future versions.
|
96 |
+
attention_bias (`bool`, defaults to `False`, *optional*, defaults to `False`):
|
97 |
+
Whether to use a bias in the query, key, value and output projection layers during self-attention.
|
98 |
+
attention_dropout (`float`, *optional*, defaults to 0.0):
|
99 |
+
The dropout ratio for the attention probabilities.
|
100 |
+
|
101 |
+
```python
|
102 |
+
>>> from transformers import MiniCPMModel, MiniCPMConfig
|
103 |
+
|
104 |
+
>>> # Initializing a MiniCPM minicpm-7b style configuration
|
105 |
+
>>> configuration = MiniCPMConfig()
|
106 |
+
|
107 |
+
>>> # Initializing a model from the minicpm-7b style configuration
|
108 |
+
>>> model = MiniCPMModel(configuration)
|
109 |
+
|
110 |
+
>>> # Accessing the model configuration
|
111 |
+
>>> configuration = model.config
|
112 |
+
```"""
|
113 |
+
|
114 |
+
model_type = "minicpm"
|
115 |
+
keys_to_ignore_at_inference = ["past_key_values"]
|
116 |
+
|
117 |
+
def __init__(
|
118 |
+
self,
|
119 |
+
vocab_size=32000,
|
120 |
+
hidden_size=4096,
|
121 |
+
intermediate_size=11008,
|
122 |
+
num_hidden_layers=32,
|
123 |
+
num_attention_heads=32,
|
124 |
+
num_key_value_heads=None,
|
125 |
+
hidden_act="silu",
|
126 |
+
max_position_embeddings=2048,
|
127 |
+
initializer_range=0.02,
|
128 |
+
rms_norm_eps=1e-6,
|
129 |
+
use_cache=True,
|
130 |
+
pad_token_id=None,
|
131 |
+
bos_token_id=1,
|
132 |
+
eos_token_id=2,
|
133 |
+
pretraining_tp=1,
|
134 |
+
tie_word_embeddings=True,
|
135 |
+
rope_theta=10000.0,
|
136 |
+
rope_scaling=None,
|
137 |
+
attention_bias=False,
|
138 |
+
attention_dropout=0.0,
|
139 |
+
scale_emb=1,
|
140 |
+
dim_model_base=1,
|
141 |
+
scale_depth=1,
|
142 |
+
**kwargs,
|
143 |
+
):
|
144 |
+
self.vocab_size = vocab_size
|
145 |
+
self.max_position_embeddings = max_position_embeddings
|
146 |
+
self.hidden_size = hidden_size
|
147 |
+
self.intermediate_size = intermediate_size
|
148 |
+
self.num_hidden_layers = num_hidden_layers
|
149 |
+
self.num_attention_heads = num_attention_heads
|
150 |
+
|
151 |
+
# for backward compatibility
|
152 |
+
if num_key_value_heads is None:
|
153 |
+
num_key_value_heads = num_attention_heads
|
154 |
+
|
155 |
+
self.num_key_value_heads = num_key_value_heads
|
156 |
+
self.hidden_act = hidden_act
|
157 |
+
self.initializer_range = initializer_range
|
158 |
+
self.rms_norm_eps = rms_norm_eps
|
159 |
+
self.pretraining_tp = pretraining_tp
|
160 |
+
self.use_cache = use_cache
|
161 |
+
self.rope_theta = rope_theta
|
162 |
+
self.rope_scaling = rope_scaling
|
163 |
+
self._rope_scaling_validation()
|
164 |
+
self.attention_bias = attention_bias
|
165 |
+
self.attention_dropout = attention_dropout
|
166 |
+
self.scale_emb = scale_emb
|
167 |
+
self.dim_model_base = dim_model_base
|
168 |
+
self.scale_depth = scale_depth
|
169 |
+
|
170 |
+
super().__init__(
|
171 |
+
pad_token_id=pad_token_id,
|
172 |
+
bos_token_id=bos_token_id,
|
173 |
+
eos_token_id=eos_token_id,
|
174 |
+
tie_word_embeddings=tie_word_embeddings,
|
175 |
+
**kwargs,
|
176 |
+
)
|
177 |
+
try:
|
178 |
+
import flash_attn
|
179 |
+
self._attn_implementation = "flash_attention_2"
|
180 |
+
except:
|
181 |
+
pass
|
182 |
+
|
183 |
+
def _rope_scaling_validation(self):
|
184 |
+
"""
|
185 |
+
Validate the `rope_scaling` configuration.
|
186 |
+
"""
|
187 |
+
if self.rope_scaling is None:
|
188 |
+
return
|
189 |
+
|
190 |
+
if not isinstance(self.rope_scaling, dict) or len(self.rope_scaling) != 2:
|
191 |
+
raise ValueError(
|
192 |
+
"`rope_scaling` must be a dictionary with with two fields, `type` and `factor`, "
|
193 |
+
f"got {self.rope_scaling}"
|
194 |
+
)
|
195 |
+
rope_scaling_type = self.rope_scaling.get("type", None)
|
196 |
+
rope_scaling_factor = self.rope_scaling.get("factor", None)
|
197 |
+
if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
|
198 |
+
raise ValueError(
|
199 |
+
f"`rope_scaling`'s type field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"
|
200 |
+
)
|
201 |
+
if rope_scaling_factor is None or not isinstance(rope_scaling_factor, float) or rope_scaling_factor <= 1.0:
|
202 |
+
raise ValueError(f"`rope_scaling`'s factor field must be a float > 1, got {rope_scaling_factor}")
|
global_step68166/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:23de090089436053b657e2092ef6bcebd582bbaef2083bb2ca3f79ba6adf8c20
|
3 |
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size 478761842
|
global_step68166/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:74caa2097bd27225897a566b5258ce09c79caaebdd338822c8efcecdfe6c9dc4
|
3 |
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size 478761794
|
global_step68166/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:8dfb06bdde501933a2f5f651dec1081107748524fef7e9257016159c2c2c7d42
|
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size 478761794
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global_step68166/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:4c1b892c1ae349c3e552f933adc8029ea8ed19f968e9ad4e1359f504ae2c3e37
|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:5809bc715665d3970f684454fdc208a59aa6fc08ce5ba89e7cb080015ac5a914
|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:3d9a63884f48bb52578c2eaa0c983c98a89ad8f063a9e903cb5396318f065229
|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:ada575ef9767fd32df1642f5f735a9fca65444308ff2ed8f876e6d5c9b25ee0e
|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:be335c8a85c92ab24496cdba84de8186e715cfe1655d8da809e3b359223c6edf
|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a0738b410c67ac77d5ebb0ea230a387b32ceb93af929a3537f9472447eae3b97
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size 478761778
|
global_step68166/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:3cbd781aeacca310c0a34c6ef68009b239351313b8275d0b44e5bffa76726e50
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size 478761794
|
global_step68166/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:9375d83bd4b1bf163b45c76784a49aa2e3d992c8414205b729fb07bf7357cf84
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size 478761794
|
global_step68166/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:f73513915b06a3d10beff037b60fa1a8ce9be651a903e8497c9d092ebf91277a
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size 478761794
|
global_step68166/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:458a44b14c1f18f59f04864b5b2c18e7eef9711dd5b3492784dbadc175a45d8a
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size 478761794
|
global_step68166/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:98dc8e7fa605696ecabfd8660c1e59c6bdfe34fe8864a41268bfc806192a074c
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size 478761794
|
global_step68166/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:76765968958508e9cdfb33d6a6ee42f334bcda111a3d765bc2809bcfd110bb29
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size 478761794
|
global_step68166/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:cf236c34a5314e4d0d1e4f2dcc52958b6e4ef91d405a8d9776f28f82c0c0cf2a
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size 478761794
|
global_step68166/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:3d33fd6525687337879ae9de251b32146ccb24c50a54c6e705792153f0d0b24c
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size 478761794
|
global_step68166/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761778
|
global_step68166/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:37aa3991bd73ec9d3ed1c505fe59714aa0f52de5fc5dc6776889d76ff5f50442
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size 478761794
|
global_step68166/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
global_step68166/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
global_step68166/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
global_step68166/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
global_step68166/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
global_step68166/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 478761778
|
global_step68166/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 478761794
|
global_step68166/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 478761794
|
global_step68166/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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