canopylabs/orpheus-3b-0.1-ft
zetlyn/models-hf model hf canopylabs/orpheus-3b-0.1-ft known 2025-03-17
https://huggingface.co/canopylabs/orpheus-3b-0.1-ft
Properties
| author | canopylabsreceipt
What the source handed over{
"_asked": "canopylabs/orpheus-3b-0.1-ft",
"_id": "67d7a25ee3396bf0c92e811c",
"author": "canopylabs",
"cardData": {
"base_model": [
"meta-llama/Llama-3.2-3B-Instruct",
"canopylabs/orpheus-3b-0.1-pretrained"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-to-speech"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2025-03-17T04:17:34.000Z",
"disabled": false,
"downloads": 29874,
"gated": "auto",
"id": "canopylabs/orpheus-3b-0.1-ft",
"lastModified": "2025-05-06T17:40:48.000Z",
"library_name": "transformers",
"likes": 745,
"model-index": null,
"modelId": "canopylabs/orpheus-3b-0.1-ft",
"pipeline_tag": "text-to-speech",
"private": false,
"safetensors": {
"parameters": {
"F32": 3782986752
},
"total": 3782986752
},
"sha": "4206a56e5a68cf6cf96900a8a78acd3370c02eb6",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "optimizer.bin"
},
{
"rfilename": "pytorch_model_fsdp.bin"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "scheduler.pt"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [
"tardellirs/model-pulse",
"aquanode/gpu-vram-calculator",
"Pendrokar/TTS-Spaces-Arena",
"MohamedRashad/Orpheus-TTS",
"Inferless/Open-Source-TTS-Gallary",
"Steveeeeeeen/SpeechLLM-Playbook",
"aiqtech/Open-Source-TTS-Gallary",
"nnnox/canopylabs-orpheus-3b-0.1-ft",
"samridhak/Orpheus-TTS",
"build-small-hackathon/marquee",
"eustlb/tts-models-on-the-hub",
"bluenevus/podcast-generator",
"Tomtom84/Orpheus-TTS",
"fitsum2018/OrpheusTTS",
"a-zamfir/IRIS",
"Tomtom84/dev-mode-orpheus-tts",
"m3nnoun/test",
"Agents-MCP-Hackathon/IRIS",
"klentyboopathi/VoiceStack",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft67",
"MCP-1st-Birthday/Atlas",
"aitchxr/canopylabs-orpheus-3b-0.1-ft",
"farid678/canopylabs-orpheus-3b-0.1-ft",
"AvatarResurrectionChatbot/AvatarChatbot",
"Meetezri/Ezri-AI-Agent",
"wishartgroup/AvatarChatbot",
"kevin-tchinda/my-tts-api",
"teresla/StoryToSleep-TTS",
"zeekhan51/Orpheus-TTS",
"mamuflih13/marquee",
"dannywalta10110/Orpheus-TTS",
"xSkay/Orpheus-TTS",
"kywpcm/SpeechLLM-Playbook"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-pretrained",
"base_model:finetune:canopylabs/orpheus-3b-0.1-pretrained",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 56694154778
} | ||||||
|---|---|---|---|---|---|---|---|
| downloads | 29874receipt
What the source handed over{
"_asked": "canopylabs/orpheus-3b-0.1-ft",
"_id": "67d7a25ee3396bf0c92e811c",
"author": "canopylabs",
"cardData": {
"base_model": [
"meta-llama/Llama-3.2-3B-Instruct",
"canopylabs/orpheus-3b-0.1-pretrained"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-to-speech"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2025-03-17T04:17:34.000Z",
"disabled": false,
"downloads": 29874,
"gated": "auto",
"id": "canopylabs/orpheus-3b-0.1-ft",
"lastModified": "2025-05-06T17:40:48.000Z",
"library_name": "transformers",
"likes": 745,
"model-index": null,
"modelId": "canopylabs/orpheus-3b-0.1-ft",
"pipeline_tag": "text-to-speech",
"private": false,
"safetensors": {
"parameters": {
"F32": 3782986752
},
"total": 3782986752
},
"sha": "4206a56e5a68cf6cf96900a8a78acd3370c02eb6",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "optimizer.bin"
},
{
"rfilename": "pytorch_model_fsdp.bin"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "scheduler.pt"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [
"tardellirs/model-pulse",
"aquanode/gpu-vram-calculator",
"Pendrokar/TTS-Spaces-Arena",
"MohamedRashad/Orpheus-TTS",
"Inferless/Open-Source-TTS-Gallary",
"Steveeeeeeen/SpeechLLM-Playbook",
"aiqtech/Open-Source-TTS-Gallary",
"nnnox/canopylabs-orpheus-3b-0.1-ft",
"samridhak/Orpheus-TTS",
"build-small-hackathon/marquee",
"eustlb/tts-models-on-the-hub",
"bluenevus/podcast-generator",
"Tomtom84/Orpheus-TTS",
"fitsum2018/OrpheusTTS",
"a-zamfir/IRIS",
"Tomtom84/dev-mode-orpheus-tts",
"m3nnoun/test",
"Agents-MCP-Hackathon/IRIS",
"klentyboopathi/VoiceStack",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft67",
"MCP-1st-Birthday/Atlas",
"aitchxr/canopylabs-orpheus-3b-0.1-ft",
"farid678/canopylabs-orpheus-3b-0.1-ft",
"AvatarResurrectionChatbot/AvatarChatbot",
"Meetezri/Ezri-AI-Agent",
"wishartgroup/AvatarChatbot",
"kevin-tchinda/my-tts-api",
"teresla/StoryToSleep-TTS",
"zeekhan51/Orpheus-TTS",
"mamuflih13/marquee",
"dannywalta10110/Orpheus-TTS",
"xSkay/Orpheus-TTS",
"kywpcm/SpeechLLM-Playbook"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-pretrained",
"base_model:finetune:canopylabs/orpheus-3b-0.1-pretrained",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 56694154778
} | ||||||
| gated | autoreceipt
What the source handed over{
"_asked": "canopylabs/orpheus-3b-0.1-ft",
"_id": "67d7a25ee3396bf0c92e811c",
"author": "canopylabs",
"cardData": {
"base_model": [
"meta-llama/Llama-3.2-3B-Instruct",
"canopylabs/orpheus-3b-0.1-pretrained"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-to-speech"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2025-03-17T04:17:34.000Z",
"disabled": false,
"downloads": 29874,
"gated": "auto",
"id": "canopylabs/orpheus-3b-0.1-ft",
"lastModified": "2025-05-06T17:40:48.000Z",
"library_name": "transformers",
"likes": 745,
"model-index": null,
"modelId": "canopylabs/orpheus-3b-0.1-ft",
"pipeline_tag": "text-to-speech",
"private": false,
"safetensors": {
"parameters": {
"F32": 3782986752
},
"total": 3782986752
},
"sha": "4206a56e5a68cf6cf96900a8a78acd3370c02eb6",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "optimizer.bin"
},
{
"rfilename": "pytorch_model_fsdp.bin"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "scheduler.pt"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [
"tardellirs/model-pulse",
"aquanode/gpu-vram-calculator",
"Pendrokar/TTS-Spaces-Arena",
"MohamedRashad/Orpheus-TTS",
"Inferless/Open-Source-TTS-Gallary",
"Steveeeeeeen/SpeechLLM-Playbook",
"aiqtech/Open-Source-TTS-Gallary",
"nnnox/canopylabs-orpheus-3b-0.1-ft",
"samridhak/Orpheus-TTS",
"build-small-hackathon/marquee",
"eustlb/tts-models-on-the-hub",
"bluenevus/podcast-generator",
"Tomtom84/Orpheus-TTS",
"fitsum2018/OrpheusTTS",
"a-zamfir/IRIS",
"Tomtom84/dev-mode-orpheus-tts",
"m3nnoun/test",
"Agents-MCP-Hackathon/IRIS",
"klentyboopathi/VoiceStack",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft67",
"MCP-1st-Birthday/Atlas",
"aitchxr/canopylabs-orpheus-3b-0.1-ft",
"farid678/canopylabs-orpheus-3b-0.1-ft",
"AvatarResurrectionChatbot/AvatarChatbot",
"Meetezri/Ezri-AI-Agent",
"wishartgroup/AvatarChatbot",
"kevin-tchinda/my-tts-api",
"teresla/StoryToSleep-TTS",
"zeekhan51/Orpheus-TTS",
"mamuflih13/marquee",
"dannywalta10110/Orpheus-TTS",
"xSkay/Orpheus-TTS",
"kywpcm/SpeechLLM-Playbook"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-pretrained",
"base_model:finetune:canopylabs/orpheus-3b-0.1-pretrained",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 56694154778
} | ||||||
| licence | apache-2.0receipt
What the source handed over{
"_asked": "canopylabs/orpheus-3b-0.1-ft",
"_id": "67d7a25ee3396bf0c92e811c",
"author": "canopylabs",
"cardData": {
"base_model": [
"meta-llama/Llama-3.2-3B-Instruct",
"canopylabs/orpheus-3b-0.1-pretrained"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-to-speech"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2025-03-17T04:17:34.000Z",
"disabled": false,
"downloads": 29874,
"gated": "auto",
"id": "canopylabs/orpheus-3b-0.1-ft",
"lastModified": "2025-05-06T17:40:48.000Z",
"library_name": "transformers",
"likes": 745,
"model-index": null,
"modelId": "canopylabs/orpheus-3b-0.1-ft",
"pipeline_tag": "text-to-speech",
"private": false,
"safetensors": {
"parameters": {
"F32": 3782986752
},
"total": 3782986752
},
"sha": "4206a56e5a68cf6cf96900a8a78acd3370c02eb6",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "optimizer.bin"
},
{
"rfilename": "pytorch_model_fsdp.bin"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "scheduler.pt"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [
"tardellirs/model-pulse",
"aquanode/gpu-vram-calculator",
"Pendrokar/TTS-Spaces-Arena",
"MohamedRashad/Orpheus-TTS",
"Inferless/Open-Source-TTS-Gallary",
"Steveeeeeeen/SpeechLLM-Playbook",
"aiqtech/Open-Source-TTS-Gallary",
"nnnox/canopylabs-orpheus-3b-0.1-ft",
"samridhak/Orpheus-TTS",
"build-small-hackathon/marquee",
"eustlb/tts-models-on-the-hub",
"bluenevus/podcast-generator",
"Tomtom84/Orpheus-TTS",
"fitsum2018/OrpheusTTS",
"a-zamfir/IRIS",
"Tomtom84/dev-mode-orpheus-tts",
"m3nnoun/test",
"Agents-MCP-Hackathon/IRIS",
"klentyboopathi/VoiceStack",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft67",
"MCP-1st-Birthday/Atlas",
"aitchxr/canopylabs-orpheus-3b-0.1-ft",
"farid678/canopylabs-orpheus-3b-0.1-ft",
"AvatarResurrectionChatbot/AvatarChatbot",
"Meetezri/Ezri-AI-Agent",
"wishartgroup/AvatarChatbot",
"kevin-tchinda/my-tts-api",
"teresla/StoryToSleep-TTS",
"zeekhan51/Orpheus-TTS",
"mamuflih13/marquee",
"dannywalta10110/Orpheus-TTS",
"xSkay/Orpheus-TTS",
"kywpcm/SpeechLLM-Playbook"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-pretrained",
"base_model:finetune:canopylabs/orpheus-3b-0.1-pretrained",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 56694154778
} | ||||||
| likes | 745receipt
What the source handed over{
"_asked": "canopylabs/orpheus-3b-0.1-ft",
"_id": "67d7a25ee3396bf0c92e811c",
"author": "canopylabs",
"cardData": {
"base_model": [
"meta-llama/Llama-3.2-3B-Instruct",
"canopylabs/orpheus-3b-0.1-pretrained"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-to-speech"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2025-03-17T04:17:34.000Z",
"disabled": false,
"downloads": 29874,
"gated": "auto",
"id": "canopylabs/orpheus-3b-0.1-ft",
"lastModified": "2025-05-06T17:40:48.000Z",
"library_name": "transformers",
"likes": 745,
"model-index": null,
"modelId": "canopylabs/orpheus-3b-0.1-ft",
"pipeline_tag": "text-to-speech",
"private": false,
"safetensors": {
"parameters": {
"F32": 3782986752
},
"total": 3782986752
},
"sha": "4206a56e5a68cf6cf96900a8a78acd3370c02eb6",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "optimizer.bin"
},
{
"rfilename": "pytorch_model_fsdp.bin"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "scheduler.pt"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [
"tardellirs/model-pulse",
"aquanode/gpu-vram-calculator",
"Pendrokar/TTS-Spaces-Arena",
"MohamedRashad/Orpheus-TTS",
"Inferless/Open-Source-TTS-Gallary",
"Steveeeeeeen/SpeechLLM-Playbook",
"aiqtech/Open-Source-TTS-Gallary",
"nnnox/canopylabs-orpheus-3b-0.1-ft",
"samridhak/Orpheus-TTS",
"build-small-hackathon/marquee",
"eustlb/tts-models-on-the-hub",
"bluenevus/podcast-generator",
"Tomtom84/Orpheus-TTS",
"fitsum2018/OrpheusTTS",
"a-zamfir/IRIS",
"Tomtom84/dev-mode-orpheus-tts",
"m3nnoun/test",
"Agents-MCP-Hackathon/IRIS",
"klentyboopathi/VoiceStack",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft67",
"MCP-1st-Birthday/Atlas",
"aitchxr/canopylabs-orpheus-3b-0.1-ft",
"farid678/canopylabs-orpheus-3b-0.1-ft",
"AvatarResurrectionChatbot/AvatarChatbot",
"Meetezri/Ezri-AI-Agent",
"wishartgroup/AvatarChatbot",
"kevin-tchinda/my-tts-api",
"teresla/StoryToSleep-TTS",
"zeekhan51/Orpheus-TTS",
"mamuflih13/marquee",
"dannywalta10110/Orpheus-TTS",
"xSkay/Orpheus-TTS",
"kywpcm/SpeechLLM-Playbook"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-pretrained",
"base_model:finetune:canopylabs/orpheus-3b-0.1-pretrained",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 56694154778
} | ||||||
| task | text-to-speechreceipt
What the source handed over{
"_asked": "canopylabs/orpheus-3b-0.1-ft",
"_id": "67d7a25ee3396bf0c92e811c",
"author": "canopylabs",
"cardData": {
"base_model": [
"meta-llama/Llama-3.2-3B-Instruct",
"canopylabs/orpheus-3b-0.1-pretrained"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-to-speech"
},
"config": {
"architectures": [
"LlamaForCausalLM"
],
"model_type": "llama",
"tokenizer_config": {
"bos_token": "<|begin_of_text|>",
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
"eos_token": "<|eot_id|>"
}
},
"createdAt": "2025-03-17T04:17:34.000Z",
"disabled": false,
"downloads": 29874,
"gated": "auto",
"id": "canopylabs/orpheus-3b-0.1-ft",
"lastModified": "2025-05-06T17:40:48.000Z",
"library_name": "transformers",
"likes": 745,
"model-index": null,
"modelId": "canopylabs/orpheus-3b-0.1-ft",
"pipeline_tag": "text-to-speech",
"private": false,
"safetensors": {
"parameters": {
"F32": 3782986752
},
"total": 3782986752
},
"sha": "4206a56e5a68cf6cf96900a8a78acd3370c02eb6",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model-00001-of-00004.safetensors"
},
{
"rfilename": "model-00002-of-00004.safetensors"
},
{
"rfilename": "model-00003-of-00004.safetensors"
},
{
"rfilename": "model-00004-of-00004.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "optimizer.bin"
},
{
"rfilename": "pytorch_model_fsdp.bin"
},
{
"rfilename": "rng_state_0.pth"
},
{
"rfilename": "rng_state_1.pth"
},
{
"rfilename": "rng_state_2.pth"
},
{
"rfilename": "rng_state_3.pth"
},
{
"rfilename": "scheduler.pt"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "trainer_state.json"
},
{
"rfilename": "training_args.bin"
}
],
"spaces": [
"tardellirs/model-pulse",
"aquanode/gpu-vram-calculator",
"Pendrokar/TTS-Spaces-Arena",
"MohamedRashad/Orpheus-TTS",
"Inferless/Open-Source-TTS-Gallary",
"Steveeeeeeen/SpeechLLM-Playbook",
"aiqtech/Open-Source-TTS-Gallary",
"nnnox/canopylabs-orpheus-3b-0.1-ft",
"samridhak/Orpheus-TTS",
"build-small-hackathon/marquee",
"eustlb/tts-models-on-the-hub",
"bluenevus/podcast-generator",
"Tomtom84/Orpheus-TTS",
"fitsum2018/OrpheusTTS",
"a-zamfir/IRIS",
"Tomtom84/dev-mode-orpheus-tts",
"m3nnoun/test",
"Agents-MCP-Hackathon/IRIS",
"klentyboopathi/VoiceStack",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft",
"Shri8296678/canopylabs-orpheus-3b-0.1-ft67",
"MCP-1st-Birthday/Atlas",
"aitchxr/canopylabs-orpheus-3b-0.1-ft",
"farid678/canopylabs-orpheus-3b-0.1-ft",
"AvatarResurrectionChatbot/AvatarChatbot",
"Meetezri/Ezri-AI-Agent",
"wishartgroup/AvatarChatbot",
"kevin-tchinda/my-tts-api",
"teresla/StoryToSleep-TTS",
"zeekhan51/Orpheus-TTS",
"mamuflih13/marquee",
"dannywalta10110/Orpheus-TTS",
"xSkay/Orpheus-TTS",
"kywpcm/SpeechLLM-Playbook"
],
"tags": [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-pretrained",
"base_model:finetune:canopylabs/orpheus-3b-0.1-pretrained",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 56694154778
} |
Text
This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/canopylabs/orpheus-3b-0.1-ft.