| from transformers import PretrainedConfig |
|
|
| QWEN_TOKEN_ID = 151643 |
|
|
| AUTO_MAP = { |
| "AutoConfig": "configuration_modern_llm.ModernLLMConfig", |
| "AutoModelForCausalLM": "modeling_modern_llm.ModernLLMForCausalLM", |
| } |
|
|
|
|
| class ModernLLMConfig(PretrainedConfig): |
| model_type = "modern_llm" |
|
|
| def __init__(self, vocab_size=151936, hidden_size=768, intermediate_size=2048, |
| num_hidden_layers=12, num_attention_heads=12, num_key_value_heads=4, |
| max_position_embeddings=2048, rms_norm_eps=1e-6, rope_theta=1000000.0, |
| pad_token_id=QWEN_TOKEN_ID, bos_token_id=QWEN_TOKEN_ID, eos_token_id=QWEN_TOKEN_ID, **kwargs): |
| self.vocab_size = vocab_size |
| 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.max_position_embeddings = max_position_embeddings |
| self.rms_norm_eps = rms_norm_eps |
| self.rope_theta = rope_theta |
| self.auto_map = dict(AUTO_MAP) |
| super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs) |
|
|
