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canopylabs/orpheus-3b-0.1-ft

hf canopylabs/orpheus-3b-0.1-ft 2 sources, 3 claims · Watch

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GGUF quantisationsIsaaclu724
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GGUF quantisations
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Isaaclu724
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Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
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What the source handed over
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Hugging Face modelscanopylabs
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Hugging Face models
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GGUF quantisationscanopylabs/orpheus-3b-0.1-ft
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GGUF quantisations
Its words
canopylabs/orpheus-3b-0.1-ft
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field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
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—
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GGUF quantisations95
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Source
GGUF quantisations
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95
Read by
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Said since
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Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
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Hugging Face models29851
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Hugging Face models
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}
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2026-09-29 09:50 UTC
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Original
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Original
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      "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": 29851,
  "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": [
    "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
task
Hugging Face modelstext-to-speech
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—

model

canopylabs/orpheus-3b-0.1-ft
zetlyn/models-hf · 2025-03-17
author canopylabs downloads 51035 gated auto licence apache-2.0 likes 742 task text-to-speech source
canopylabs/orpheus-3b-0.1-ft
zetlyn/models-hf · 2025-03-17
author canopylabs downloads 29851 gated auto licence apache-2.0 likes 745 task text-to-speech source

quantisation

Isaaclu724/orpheus-3b-0.1-ft-Q4_K_M-GGUF
zetlyn/models-gguf · 2026-09-13
author Isaaclu724 base canopylabs/orpheus-3b-0.1-ft downloads 95 licence apache-2.0 likes 0 source