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112d755 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 | # Copyright 2026 Trillion Labs and the HuggingFace 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.
"""GravityMoE model configuration — inherits from DeepSeek V3."""
from transformers import DeepseekV3Config
class GravityMoEConfig(DeepseekV3Config):
r"""
Configuration class for the GravityMoE model, inheriting from
[`DeepseekV3Config`]. GravityMoE shares the same architecture as
DeepSeek V3 (sparse MoE with MLA) but uses different hyperparameters.
Only default values that differ from DeepSeek V3 are overridden here.
See [`DeepseekV3Config`] for full documentation of all parameters.
Example:
```python
>>> from configuration_gravity_moe import GravityMoEConfig
>>> configuration = GravityMoEConfig()
>>> configuration.model_type
'gravity_moe'
```
"""
model_type = "gravity_moe"
def __init__(
self,
vocab_size=151552,
hidden_size=2048,
intermediate_size=8192,
moe_intermediate_size=1408,
num_hidden_layers=28,
num_attention_heads=16,
num_key_value_heads=16,
n_shared_experts=1,
n_routed_experts=64,
routed_scaling_factor=2.446,
kv_lora_rank=512,
q_lora_rank=None,
qk_rope_head_dim=64,
v_head_dim=128,
qk_nope_head_dim=128,
n_group=1,
topk_group=1,
num_experts_per_tok=8,
first_k_dense_replace=1,
norm_topk_prob=True,
hidden_act="silu",
max_position_embeddings=65536,
initializer_range=0.02,
rms_norm_eps=1e-6,
use_cache=True,
pad_token_id=None,
bos_token_id=0,
eos_token_id=1,
tie_word_embeddings=False,
rope_theta=1000000.0,
rope_scaling=None,
rope_interleave=True,
attention_bias=False,
attention_dropout=0.0,
**kwargs,
):
super().__init__(
vocab_size=vocab_size,
hidden_size=hidden_size,
intermediate_size=intermediate_size,
moe_intermediate_size=moe_intermediate_size,
num_hidden_layers=num_hidden_layers,
num_attention_heads=num_attention_heads,
num_key_value_heads=num_key_value_heads,
n_shared_experts=n_shared_experts,
n_routed_experts=n_routed_experts,
routed_scaling_factor=routed_scaling_factor,
kv_lora_rank=kv_lora_rank,
q_lora_rank=q_lora_rank,
qk_rope_head_dim=qk_rope_head_dim,
v_head_dim=v_head_dim,
qk_nope_head_dim=qk_nope_head_dim,
n_group=n_group,
topk_group=topk_group,
num_experts_per_tok=num_experts_per_tok,
first_k_dense_replace=first_k_dense_replace,
norm_topk_prob=norm_topk_prob,
hidden_act=hidden_act,
max_position_embeddings=max_position_embeddings,
initializer_range=initializer_range,
rms_norm_eps=rms_norm_eps,
use_cache=use_cache,
pad_token_id=pad_token_id,
bos_token_id=bos_token_id,
eos_token_id=eos_token_id,
tie_word_embeddings=tie_word_embeddings,
rope_theta=rope_theta,
rope_scaling=rope_scaling,
rope_interleave=rope_interleave,
attention_bias=attention_bias,
attention_dropout=attention_dropout,
**kwargs,
)
__all__ = ["GravityMoEConfig"]
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