feat: upload CONFIGURATION_PY weights (configuration_mark_engineer_v2_8b.py)

configuration_mark_engineer_v2_8b.py

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+"""
+Hugging Face Transformers Configuration for Mark-Engineer-V2-8B
+"""
+
+from transformers.configuration_utils import PretrainedConfig
+
+
+class MarkEngineerV2_8BConfig(PretrainedConfig):
+    model_type = "mark_engineer_v2_8b"
+    keys_to_ignore_at_inference = ["past_key_values"]
+
+    def __init__(
+        self,
+        vocab_size: int = 49152,
+        hidden_size: int = 2560,
+        num_hidden_layers: int = 32,
+        num_attention_heads: int = 32,
+        num_key_value_heads: int = 8,
+        q_lora_rank: int = 1024,
+        kv_lora_rank: int = 512,
+        qk_nope_head_dim: int = 64,
+        qk_rope_head_dim: int = 32,
+        v_head_dim: int = 80,
+        intermediate_size: int = 7680,
+        n_dense_layers: int = 2,
+        n_shared_experts: int = 1,
+        n_routed_experts: int = 24,
+        num_experts_per_tok: int = 2,
+        moe_intermediate_size: int = 1254,
+        router_bias_update_rate: float = 1e-3,
+        mtp_depth: int = 1,
+        mtp_loss_weight: float = 0.3,
+        max_position_embeddings: int = 8192,
+        rope_theta: float = 500000.0,
+        rms_norm_eps: float = 1e-5,
+        tie_word_embeddings: bool = True,
+        bos_token_id: int = 1,
+        eos_token_id: int = 2,
+        pad_token_id: int = 0,
+        **kwargs,
+    ):
+        super().__init__(
+            bos_token_id=bos_token_id,
+            eos_token_id=eos_token_id,
+            pad_token_id=pad_token_id,
+            tie_word_embeddings=tie_word_embeddings,
+            **kwargs,
+        )
+        self.vocab_size = vocab_size
+        self.hidden_size = hidden_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.q_lora_rank = q_lora_rank
+        self.kv_lora_rank = kv_lora_rank
+        self.qk_nope_head_dim = qk_nope_head_dim
+        self.qk_rope_head_dim = qk_rope_head_dim
+        self.v_head_dim = v_head_dim
+        self.intermediate_size = intermediate_size
+        self.n_dense_layers = n_dense_layers
+        self.n_shared_experts = n_shared_experts
+        self.n_routed_experts = n_routed_experts
+        self.num_experts_per_tok = num_experts_per_tok
+        self.moe_intermediate_size = moe_intermediate_size
+        self.router_bias_update_rate = router_bias_update_rate
+        self.mtp_depth = mtp_depth
+        self.mtp_loss_weight = mtp_loss_weight
+        self.max_position_embeddings = max_position_embeddings
+        self.rope_theta = rope_theta
+        self.rms_norm_eps = rms_norm_eps