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# coding=utf-8
# Copyright 2025-present, the HuggingFace Inc. Team and AIRAS Inc. Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
from transformers import AutoConfig
logger = logging.get_logger(__name__)
SAPNOUS_PRETRAINED_CONFIG_ARCHIVE_MAP = {
"Sapnous-AI/Sapnous-VR-6B": "https://huggingface.co/Sapnous-AI/Sapnous-VR-6B/resolve/main/config.json",
}
class SapnousT1Config(PretrainedConfig):
model_type = "sapnous_t1"
def __init__(
self,
vocab_size=151936,
hidden_size=5120,
intermediate_size=20480,
num_hidden_layers=36,
num_attention_heads=40,
num_key_value_heads=8,
hidden_act="silu",
max_position_embeddings=128000,
initializer_range=0.02,
rms_norm_eps=1e-6,
use_cache=True,
pad_token_id=None,
bos_token_id=151643,
eos_token_id=151645,
tie_word_embeddings=True,
vision_start_token_id=151652,
vision_end_token_id=151653,
vision_token_id=151654,
image_token_id=151655,
video_token_id=151656,
vision_config=None,
rope_theta=1000000.0,
sliding_window=32768,
use_sliding_window=False,
max_window_layers=70,
attention_dropout=0.0,
rope_scaling=None,
scoring_func="softmax",
aux_loss_alpha=0.001,
seq_aux=True,
**kwargs
):
super().__init__(
pad_token_id=pad_token_id,
bos_token_id=bos_token_id,
eos_token_id=eos_token_id,
tie_word_embeddings=tie_word_embeddings,
**kwargs,
)
self.vocab_size = vocab_size
self.max_position_embeddings = max_position_embeddings
self.hidden_size = hidden_size
self.intermediate_size = intermediate_size
self.num_hidden_layers = num_hidden_layers
self.num_attention_heads = num_attention_heads
self.num_key_value_heads = num_key_value_heads
self.hidden_act = hidden_act
self.initializer_range = initializer_range
self.rms_norm_eps = rms_norm_eps
self.use_cache = use_cache
self.vision_start_token_id = vision_start_token_id
self.vision_end_token_id = vision_end_token_id
self.vision_token_id = vision_token_id
self.image_token_id = image_token_id
self.video_token_id = video_token_id
self.vision_config = vision_config
self.rope_theta = rope_theta
self.sliding_window = sliding_window
self.use_sliding_window = use_sliding_window
self.max_window_layers = max_window_layers
self.attention_dropout = attention_dropout
self.rope_scaling = rope_scaling
self.scoring_func = scoring_func
self.aux_loss_alpha = aux_loss_alpha
self.seq_aux = seq_aux
model_type = "sapnous_t1"
keys_to_ignore_at_inference = ["past_key_values"]
# ✅ Register after defining the class
AutoConfig.register("sapnous_t1", SapnousT1Config)
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