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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

__init__.py

@@ -0,0 +1,9 @@
+"""Continue-TTS Model based on Continue-1-OSS by SVECTOR"""
+
+from .configuration_continue_oss import Continue1Config
+from .modeling_continue_oss import Continue1ForCausalLM
+
+__all__ = [
+    "Continue1Config",
+    "Continue1ForCausalLM",
+]

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "SVECTOR-CORPORATION/Continue-TTS",
+  "architectures": [
+    "Continue1ForCausalLM"
+  ],
+  "auto_map": {
+    "AutoConfig": "configuration_continue_oss.Continue1Config",
+    "AutoModelForCausalLM": "modeling_continue_oss.Continue1ForCausalLM"
+  },
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "continue_oss",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 156940
+}

configuration_continue_oss.py

@@ -0,0 +1,67 @@
+"""
+Continue-1-OSS Model Configuration
+"""
+
+from transformers import LlamaConfig
+from transformers.utils import logging
+
+logger = logging.get_logger(__name__)
+
+
+class Continue1Config(LlamaConfig):
+    model_type = "continue_oss"
+    
+    def __init__(
+        self,
+        vocab_size=156940,
+        hidden_size=3072,
+        intermediate_size=8192,
+        num_hidden_layers=28,
+        num_attention_heads=24,
+        num_key_value_heads=8,
+        head_dim=128,
+        hidden_act="silu",
+        max_position_embeddings=131072,
+        initializer_range=0.02,
+        rms_norm_eps=1e-05,
+        use_cache=True,
+        pad_token_id=None,
+        bos_token_id=128000,
+        eos_token_id=128001,
+        pretraining_tp=1,
+        tie_word_embeddings=True,
+        rope_theta=500000.0,
+        rope_scaling=None,
+        attention_bias=False,
+        attention_dropout=0.0,
+        mlp_bias=False,
+        **kwargs,
+    ):
+        super().__init__(
+            vocab_size=vocab_size,
+            hidden_size=hidden_size,
+            intermediate_size=intermediate_size,
+            num_hidden_layers=num_hidden_layers,
+            num_attention_heads=num_attention_heads,
+            num_key_value_heads=num_key_value_heads,
+            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,
+            pretraining_tp=pretraining_tp,
+            tie_word_embeddings=tie_word_embeddings,
+            rope_theta=rope_theta,
+            rope_scaling=rope_scaling,
+            attention_bias=attention_bias,
+            attention_dropout=attention_dropout,
+            **kwargs,
+        )
+        self.head_dim = head_dim
+        self.mlp_bias = mlp_bias
+
+
+Continue1Config.register_for_auto_class()

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.49.0"
+}

model-00001-of-00004.safetensors

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modeling_continue_oss.py

@@ -0,0 +1,25 @@
+"""
+Continue-1-OSS Model Architecture
+"""
+
+from typing import Optional, Tuple, Union
+
+import torch
+from transformers import LlamaForCausalLM
+from transformers.utils import logging
+
+from .configuration_continue_oss import Continue1Config
+
+logger = logging.get_logger(__name__)
+
+
+class Continue1ForCausalLM(LlamaForCausalLM):
+    config_class = Continue1Config
+    base_model_prefix = "model"
+    
+    def __init__(self, config):
+        super().__init__(config)
+        self.post_init()
+
+
+Continue1ForCausalLM.register_for_auto_class("AutoModelForCausalLM")

special_tokens_map.json

@@ -0,0 +1,19 @@
+{
+  "additional_special_tokens": [
+    "<|audio|>"
+  ],
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fc3fecb199b4170636dbfab986d25f628157268d37b861f9cadaca60b1353bce
+size 22849547