# Copyright 2024 The Kyutai and HuggingFace Inc. teams. 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 huggingface_hub.dataclasses import strict from ...configuration_utils import PreTrainedConfig from ...modeling_rope_utils import RopeParameters from ...utils import auto_docstring @auto_docstring(checkpoint="kyutai/helium-1-preview") @strict class HeliumConfig(PreTrainedConfig): r""" Example: ```python >>> from transformers import HeliumModel, HeliumConfig >>> # Initializing a Helium 2b style configuration >>> configuration = HeliumConfig() >>> # Initializing a model from the Helium 2b style configuration >>> model = HeliumModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```""" model_type = "helium" keys_to_ignore_at_inference = ["past_key_values"] default_theta = 100000.0 base_model_tp_plan = { "layers.*.self_attn.q_proj": "colwise", "layers.*.self_attn.k_proj": "colwise", "layers.*.self_attn.v_proj": "colwise", "layers.*.self_attn.o_proj": "rowwise", "layers.*.mlp.gate_proj": "colwise", "layers.*.mlp.up_proj": "colwise", "layers.*.mlp.down_proj": "rowwise", } base_model_pp_plan = { "embed_tokens": (["input_ids"], ["inputs_embeds"]), "layers": (["hidden_states", "attention_mask"], ["hidden_states"]), "norm": (["hidden_states"], ["hidden_states"]), } vocab_size: int = 48000 hidden_size: int = 2560 intermediate_size: int = 7040 num_hidden_layers: int = 24 num_attention_heads: int = 20 num_key_value_heads: int = 20 head_dim: int = 128 hidden_act: str = "silu" attention_dropout: float | int = 0.0 max_position_embeddings: int = 4096 initializer_range: float = 0.02 rms_norm_eps: float = 1e-8 use_cache: bool = True tie_word_embeddings: bool = False rope_parameters: RopeParameters | dict | None = None pad_token_id: int | None = 3 eos_token_id: int | list[int] | None = 2 bos_token_id: int | None = 1 attention_bias: bool = False mlp_bias: bool = False __all__ = ["HeliumConfig"]