|
""" Example python script to generate a YAML config file which can be used to run a training with nanotron. Refer to "examples" section in the `/README.md` for more information. |
|
|
|
Usage: |
|
``` |
|
python config_tiny_mistral.py |
|
``` |
|
""" |
|
import os |
|
from dataclasses import dataclass |
|
from typing import Optional |
|
|
|
from nanotron.config import ( |
|
CheckpointsArgs, |
|
Config, |
|
DataArgs, |
|
GeneralArgs, |
|
LoggingArgs, |
|
LRSchedulerArgs, |
|
ModelArgs, |
|
OptimizerArgs, |
|
ParallelismArgs, |
|
PretrainDatasetsArgs, |
|
RandomInit, |
|
TokenizerArgs, |
|
TokensArgs, |
|
) |
|
from nanotron.logging import human_format |
|
|
|
|
|
@dataclass |
|
class MistralConfig: |
|
"""Configuration for a MISTRAL model |
|
|
|
Be careful on having a coherent typing as we use it to reconstruct the model from yaml |
|
""" |
|
|
|
attn_pdrop: float = 0.0 |
|
bos_token_id: int = 1 |
|
eos_token_id: int = 2 |
|
hidden_act: str = "silu" |
|
hidden_size: int = 4096 |
|
initializer_range: float = 0.02 |
|
intermediate_size: int = 14336 |
|
is_mistral_config: bool = True |
|
max_position_embeddings: int = 32768 |
|
num_attention_heads: int = 32 |
|
num_hidden_layers: int = 32 |
|
num_key_value_heads: Optional[int] = 8 |
|
pad_token_id: Optional[int] = None |
|
pretraining_tp: int = 1 |
|
rms_norm_eps: float = 1e-05 |
|
rope_theta: float = 10000.0 |
|
sliding_window_size: int = 4096 |
|
tie_word_embeddings: bool = False |
|
use_cache: bool = True |
|
vocab_size: int = 32000 |
|
|
|
def __post_init__(self): |
|
|
|
if self.num_key_value_heads is None: |
|
self.num_key_value_heads = self.num_attention_heads |
|
|
|
def get_num_params(model_config: MistralConfig) -> int: |
|
num_params = model_config.vocab_size * model_config.hidden_size * 2 + \ |
|
model_config.num_hidden_layers * ( |
|
3 * model_config.hidden_size * model_config.intermediate_size |
|
+ 2 * model_config.hidden_size * model_config.hidden_size |
|
+ 2 * model_config.hidden_size * (model_config.hidden_size / (model_config.num_attention_heads / model_config.num_key_value_heads)) |
|
) |
|
return num_params |
|
|
