Restructure repository: Move checkpoint-25000 to root and update inference script

.gitattributes

@@ -39,3 +39,4 @@ checkpoint-5000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoint-20000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoint-25000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+venv/

chat_template.jinja

@@ -0,0 +1,93 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

config.json

@@ -0,0 +1,36 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": 128009,
+  "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": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 128263,
+  "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,
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "vocab_size": 156960
+}

generate_samples.py

@@ -0,0 +1,67 @@
+"""
+Generate audio samples for README using Maya API
+"""
+import requests
+import os
+
+API_KEY = "maya_5isp6o5hhVB5xQhbNGqVVn9ysttL7W"
+API_URL = "https://v3.mayaresearch.ai/v1/tts/generate"
+
+samples = [
+    {
+        "name": "example3_dark_villain.wav",
+        "voice_id": "DarkVillain",
+        "text": "You thought you could escape? <whisper> How delightfully naive. The game has only just begun, and I hold all the cards."
+    },
+    {
+        "name": "example4_podcast_narrator.wav",
+        "voice_id": "James",
+        "text": "The year was 1969 <gasp> and three brave souls sat atop a towering rocket, waiting to defy gravity itself and touch the face of the moon."
+    },
+    {
+        "name": "example5_customer_support.wav",
+        "voice_id": "Emma",
+        "text": "I completely understand your frustration. Let me help you resolve this right away <chuckle> and we'll have you back on track in no time!"
+    },
+    {
+        "name": "example6_storyteller.wav",
+        "voice_id": "AnimatedCartoon",
+        "text": "Once upon a time in a magical forest <giggle> there lived a tiny dragon who was afraid of his own fire. Can you believe it?"
+    }
+]
+
+print("Generating audio samples using Maya API...")
+for sample in samples:
+    print(f"\nGenerating {sample['name']}...")
+    print(f"  Voice: {sample['voice_id']}")
+    print(f"  Text: {sample['text'][:80]}...")
+    
+    try:
+        response = requests.post(
+            API_URL,
+            headers={
+                "X-API-Key": API_KEY,
+                "Content-Type": "application/json"
+            },
+            json={
+                "voice_id": sample["voice_id"],
+                "text": sample["text"],
+                "stream": False
+            },
+            timeout=60
+        )
+        
+        if response.status_code == 200:
+            output_path = sample["name"]
+            with open(output_path, "wb") as f:
+                f.write(response.content)
+            
+            file_size = len(response.content)
+            print(f"  ✓ Generated: {output_path} ({file_size} bytes)")
+        else:
+            print(f"  ✗ Error {response.status_code}: {response.text}")
+    except Exception as e:
+        print(f"  ✗ Exception: {e}")
+
+print("\n✓ All samples generated!")
+

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128009,
+    128258
+  ],
+  "pad_token_id": 128263,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.57.1"
+}

model-00001-of-00002.safetensors

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+size 4991160848

model-00002-of-00002.safetensors

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model.safetensors.index.json

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+}

special_tokens_map.json

@@ -0,0 +1,165 @@
+{
+  "additional_special_tokens": [
+    {
+      "content": "<angry>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<appalled>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<chuckle>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<cry>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<curious>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<disappointed>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<excited>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<exhale>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<gasp>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<giggle>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<gulp>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<laugh>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<laugh_harder>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<mischievous>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<sarcastic>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<scream>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<sigh>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<sing>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<snort>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<whisper>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "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
+  },
+  "pad_token": {
+    "content": "<custom_token_7>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c5e5b1d89b7e3738e5a5a4f93c326d8f3292ea83f9c560b8dbb6d66fb851973
+size 22853258

vllm_streaming_inference.py

@@ -304,9 +304,9 @@ class Maya1VoiceModel:
     
     def build_prompt(self, description: str, text: str) -> str:
         """
-        Build prompt in Maya-1-Voice format.
+        Build prompt in Maya-1-Voice format using chat template.
         
-        Format: <description="..."> text
+        Format: Chat template with <description="..."> text as content
         
         The model expects:
         1. Description of voice/character
@@ -320,9 +320,11 @@ class Maya1VoiceModel:
                 Example: "Hello world! <excited> This is amazing!"
         
         Returns:
-            Formatted prompt string
+            Formatted prompt string using chat template
         """
-        return f'<description="{description}"> {text}'
+        content = f'<description="{description}"> {text}'
+        messages = [{"role": "user", "content": content}]
+        return self.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
 
 
 # ============================================================================
@@ -376,9 +378,7 @@ class Maya1VoiceStreamingPipeline:
         # Build prompt
         prompt = self.model.build_prompt(description, text)
         
-        # Configure sampling with custom logits processor
-        logits_processor = OnlyAudioAfterSOS()
-        
+        # Configure sampling (removed custom logits processor for V1 compatibility)
         sampling_params = SamplingParams(
             temperature=temperature,
             top_p=top_p,
@@ -386,7 +386,6 @@ class Maya1VoiceStreamingPipeline:
             min_tokens=DEFAULT_MIN_TOKENS,
             repetition_penalty=repetition_penalty,
             stop_token_ids=[CODE_END_TOKEN_ID],  # Stop on audio EOS
-            logits_processors=[logits_processor],  # Constrain to audio tokens
         )
         
         print(f"🎲 Sampling: temp={temperature}, top_p={top_p}, max_tokens={max_tokens}")
@@ -438,9 +437,6 @@ class Maya1VoiceStreamingPipeline:
                             yield audio_bytes
         
         print(f"✅ Streaming complete: {total_tokens} tokens → {total_chunks} chunks")
-        
-        # Reset logits processor for next generation
-        logits_processor.reset()
 
 
 # ============================================================================
@@ -459,7 +455,7 @@ async def main():
     """
     
     # Configuration
-    MODEL_PATH = "maya-research/maya-1-voice"  # Update with your model
+    MODEL_PATH = "/home/ubuntu/veena_temp/maya-1-voice"  # Local model path
     DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
     
     print("=" * 80)
@@ -471,7 +467,7 @@ async def main():
         model_path=MODEL_PATH,
         dtype="bfloat16",
         max_model_len=8192,
-        gpu_memory_utilization=0.85,
+        gpu_memory_utilization=0.8,  # Reduced for available GPU memory (12GB free)
     )
     
     # Initialize SNAC decoder