Orpheus (bn, pt)
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- .gitattributes +31 -0
- bn/Orpheus-bangla-GGUF/.gitattributes +47 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.IQ4_XS.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q2_K.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q3_K_L.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q3_K_M.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q3_K_S.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q4_K_M.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q4_K_S.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q5_K_M.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q5_K_S.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q6_K.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q8_0.gguf +3 -0
- bn/Orpheus-bangla-GGUF/Orpheus-bangla.f16.gguf +3 -0
- bn/Orpheus-bangla-GGUF/README.md +75 -0
- bn/Orpheus-bangla-GGUF/source.txt +1 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/.gitattributes +47 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.IQ4_XS.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q2_K.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q3_K_L.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q3_K_M.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q3_K_S.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q4_K_M.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q4_K_S.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q5_K_M.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q5_K_S.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q6_K.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q8_0.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.f16.gguf +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/README.md +80 -0
- bn/Orpheus_3B_TTS_Bangla_V4-GGUF/source.txt +1 -0
- bn/Orpheus_3B_TTS_Bangla_V4/.gitattributes +36 -0
- bn/Orpheus_3B_TTS_Bangla_V4/README.md +43 -0
- bn/Orpheus_3B_TTS_Bangla_V4/chat_template.jinja +93 -0
- bn/Orpheus_3B_TTS_Bangla_V4/config.json +38 -0
- bn/Orpheus_3B_TTS_Bangla_V4/model-00001-of-00002.safetensors +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4/model-00002-of-00002.safetensors +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4/model.safetensors.index.json +261 -0
- bn/Orpheus_3B_TTS_Bangla_V4/source.txt +1 -0
- bn/Orpheus_3B_TTS_Bangla_V4/special_tokens_map.json +26 -0
- bn/Orpheus_3B_TTS_Bangla_V4/tokenizer.json +3 -0
- bn/Orpheus_3B_TTS_Bangla_V4/tokenizer_config.json +0 -0
- bn/orpheus-bangla-emotional-tts/.gitattributes +36 -0
- bn/orpheus-bangla-emotional-tts/.model-index/metadata.json +15 -0
- bn/orpheus-bangla-emotional-tts/README.md +101 -0
- bn/orpheus-bangla-emotional-tts/config.json +39 -0
- bn/orpheus-bangla-emotional-tts/generation_config.json +11 -0
- bn/orpheus-bangla-emotional-tts/model-00001-of-00002.safetensors +3 -0
- bn/orpheus-bangla-emotional-tts/model-00002-of-00002.safetensors +3 -0
- bn/orpheus-bangla-emotional-tts/model.safetensors.index.json +261 -0
.gitattributes
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hi,en/Orpheus-tts-hi/audio/output_2.wav filter=lfs diff=lfs merge=lfs -text
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hi,en/Orpheus-tts-hi/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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hi/Orpheus-3b-Hindi-FT-Q8_0.gguf/Orpheus-3b-Hindi-FT-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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hi,en/Orpheus-tts-hi/audio/output_2.wav filter=lfs diff=lfs merge=lfs -text
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hi,en/Orpheus-tts-hi/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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hi/Orpheus-3b-Hindi-FT-Q8_0.gguf/Orpheus-3b-Hindi-FT-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.f16.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus_3B_TTS_Bangla_V4/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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bn/orpheus-bangla-emotional-tts/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.f16.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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bn/orpheus-bangla-tts-4bit/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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bn/orpheus-bangla-tts-gguf-8bit/model.gguf filter=lfs diff=lfs merge=lfs -text
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bn/orpheus-bangla-tts-gguf/model.gguf filter=lfs diff=lfs merge=lfs -text
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bn/orpheus-bangla-tts/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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pt/Orpheus_PTBR_FT_Unsloth_Chk-1800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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Orpheus-bangla.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
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Orpheus-bangla.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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bn/Orpheus-bangla-GGUF/Orpheus-bangla.Q6_K.gguf
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bn/Orpheus-bangla-GGUF/README.md
ADDED
|
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|
| 1 |
+
---
|
| 2 |
+
base_model: asif00/orpheus-bangla-tts
|
| 3 |
+
datasets:
|
| 4 |
+
- SUST-CSE-Speech/banspeech
|
| 5 |
+
language:
|
| 6 |
+
- bn
|
| 7 |
+
library_name: transformers
|
| 8 |
+
license: apache-2.0
|
| 9 |
+
mradermacher:
|
| 10 |
+
readme_rev: 1
|
| 11 |
+
quantized_by: mradermacher
|
| 12 |
+
tags:
|
| 13 |
+
- transformers
|
| 14 |
+
- llama
|
| 15 |
+
- text-to-speech
|
| 16 |
+
---
|
| 17 |
+
## About
|
| 18 |
+
|
| 19 |
+
<!-- ### quantize_version: 2 -->
|
| 20 |
+
<!-- ### output_tensor_quantised: 1 -->
|
| 21 |
+
<!-- ### convert_type: hf -->
|
| 22 |
+
<!-- ### vocab_type: -->
|
| 23 |
+
<!-- ### tags: -->
|
| 24 |
+
static quants of https://huggingface.co/asif00/orpheus-bangla-tts
|
| 25 |
+
|
| 26 |
+
<!-- provided-files -->
|
| 27 |
+
|
| 28 |
+
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Orpheus-bangla-GGUF).***
|
| 29 |
+
|
| 30 |
+
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
|
| 31 |
+
## Usage
|
| 32 |
+
|
| 33 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
| 34 |
+
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
|
| 35 |
+
more details, including on how to concatenate multi-part files.
|
| 36 |
+
|
| 37 |
+
## Provided Quants
|
| 38 |
+
|
| 39 |
+
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
|
| 40 |
+
|
| 41 |
+
| Link | Type | Size/GB | Notes |
|
| 42 |
+
|:-----|:-----|--------:|:------|
|
| 43 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q2_K.gguf) | Q2_K | 1.5 | |
|
| 44 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
|
| 45 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality |
|
| 46 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q3_K_L.gguf) | Q3_K_L | 2.0 | |
|
| 47 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
|
| 48 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
|
| 49 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
|
| 50 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
|
| 51 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
|
| 52 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
|
| 53 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
|
| 54 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus-bangla-GGUF/resolve/main/Orpheus-bangla.f16.gguf) | f16 | 6.7 | 16 bpw, overkill |
|
| 55 |
+
|
| 56 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
| 57 |
+
types (lower is better):
|
| 58 |
+
|
| 59 |
+

|
| 60 |
+
|
| 61 |
+
And here are Artefact2's thoughts on the matter:
|
| 62 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
| 63 |
+
|
| 64 |
+
## FAQ / Model Request
|
| 65 |
+
|
| 66 |
+
See https://huggingface.co/mradermacher/model_requests for some answers to
|
| 67 |
+
questions you might have and/or if you want some other model quantized.
|
| 68 |
+
|
| 69 |
+
## Thanks
|
| 70 |
+
|
| 71 |
+
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
| 72 |
+
me use its servers and providing upgrades to my workstation to enable
|
| 73 |
+
this work in my free time.
|
| 74 |
+
|
| 75 |
+
<!-- end -->
|
bn/Orpheus-bangla-GGUF/source.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
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https://huggingface.co/mradermacher/Orpheus-bangla-GGUF
|
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ADDED
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| 1 |
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|
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*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
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*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
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*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
|
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*.xz filter=lfs diff=lfs merge=lfs -text
|
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 3516431392
|
bn/Orpheus_3B_TTS_Bangla_V4-GGUF/Orpheus_3B_TTS_Bangla_V4.f16.gguf
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|
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:e01536e8ee03142186cb9a7d8757bacb5f68f838cf50ee110142319b8357ed2d
|
| 3 |
+
size 6610830112
|
bn/Orpheus_3B_TTS_Bangla_V4-GGUF/README.md
ADDED
|
@@ -0,0 +1,80 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: utshobs/Orpheus_3B_TTS_Bangla_V4
|
| 3 |
+
datasets:
|
| 4 |
+
- utshobs/bangla-tts-v2
|
| 5 |
+
language:
|
| 6 |
+
- bn
|
| 7 |
+
library_name: transformers
|
| 8 |
+
license: apache-2.0
|
| 9 |
+
mradermacher:
|
| 10 |
+
readme_rev: 1
|
| 11 |
+
quantized_by: mradermacher
|
| 12 |
+
tags:
|
| 13 |
+
- text-to-speech
|
| 14 |
+
- TTS
|
| 15 |
+
- Bangla
|
| 16 |
+
- Orpheus
|
| 17 |
+
- fine-tuned
|
| 18 |
+
---
|
| 19 |
+
## About
|
| 20 |
+
|
| 21 |
+
<!-- ### quantize_version: 2 -->
|
| 22 |
+
<!-- ### output_tensor_quantised: 1 -->
|
| 23 |
+
<!-- ### convert_type: hf -->
|
| 24 |
+
<!-- ### vocab_type: -->
|
| 25 |
+
<!-- ### tags: -->
|
| 26 |
+
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
|
| 27 |
+
<!-- ### quants_skip: -->
|
| 28 |
+
<!-- ### skip_mmproj: -->
|
| 29 |
+
static quants of https://huggingface.co/utshobs/Orpheus_3B_TTS_Bangla_V4
|
| 30 |
+
|
| 31 |
+
<!-- provided-files -->
|
| 32 |
+
|
| 33 |
+
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Orpheus_3B_TTS_Bangla_V4-GGUF).***
|
| 34 |
+
|
| 35 |
+
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
|
| 36 |
+
## Usage
|
| 37 |
+
|
| 38 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
| 39 |
+
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
|
| 40 |
+
more details, including on how to concatenate multi-part files.
|
| 41 |
+
|
| 42 |
+
## Provided Quants
|
| 43 |
+
|
| 44 |
+
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
|
| 45 |
+
|
| 46 |
+
| Link | Type | Size/GB | Notes |
|
| 47 |
+
|:-----|:-----|--------:|:------|
|
| 48 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q2_K.gguf) | Q2_K | 1.5 | |
|
| 49 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
|
| 50 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality |
|
| 51 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q3_K_L.gguf) | Q3_K_L | 2.0 | |
|
| 52 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
|
| 53 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
|
| 54 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
|
| 55 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
|
| 56 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
|
| 57 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
|
| 58 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
|
| 59 |
+
| [GGUF](https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF/resolve/main/Orpheus_3B_TTS_Bangla_V4.f16.gguf) | f16 | 6.7 | 16 bpw, overkill |
|
| 60 |
+
|
| 61 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
| 62 |
+
types (lower is better):
|
| 63 |
+
|
| 64 |
+

|
| 65 |
+
|
| 66 |
+
And here are Artefact2's thoughts on the matter:
|
| 67 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
| 68 |
+
|
| 69 |
+
## FAQ / Model Request
|
| 70 |
+
|
| 71 |
+
See https://huggingface.co/mradermacher/model_requests for some answers to
|
| 72 |
+
questions you might have and/or if you want some other model quantized.
|
| 73 |
+
|
| 74 |
+
## Thanks
|
| 75 |
+
|
| 76 |
+
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
| 77 |
+
me use its servers and providing upgrades to my workstation to enable
|
| 78 |
+
this work in my free time.
|
| 79 |
+
|
| 80 |
+
<!-- end -->
|
bn/Orpheus_3B_TTS_Bangla_V4-GGUF/source.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
https://huggingface.co/mradermacher/Orpheus_3B_TTS_Bangla_V4-GGUF
|
bn/Orpheus_3B_TTS_Bangla_V4/.gitattributes
ADDED
|
@@ -0,0 +1,36 @@
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
bn/Orpheus_3B_TTS_Bangla_V4/README.md
ADDED
|
@@ -0,0 +1,43 @@
|
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|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/orpheus-3b-0.1-ft
|
| 3 |
+
tags:
|
| 4 |
+
- text-to-speech
|
| 5 |
+
- TTS
|
| 6 |
+
- Bangla
|
| 7 |
+
- Orpheus
|
| 8 |
+
- fine-tuned
|
| 9 |
+
license: apache-2.0
|
| 10 |
+
language:
|
| 11 |
+
- bn
|
| 12 |
+
datasets:
|
| 13 |
+
- utshobs/bangla-tts-v2
|
| 14 |
+
---
|
| 15 |
+
# 🎙️ Orpheus 3B TTS — Bangla (Fine-tuned)
|
| 16 |
+
|
| 17 |
+
This model is a **fine-tuned version of Orpheus 3B** specialized for **Bangla text-to-speech (TTS)**.
|
| 18 |
+
|
| 19 |
+
---
|
| 20 |
+
|
| 21 |
+
## 🧠 Model Overview
|
| 22 |
+
- **Base Model:** [unsloth/orpheus-3b-0.1-ft](https://huggingface.co/unsloth/orpheus-3b-0.1-ft)
|
| 23 |
+
- **Fine-tuned Dataset:** [utshobs/bangla-tts-v2](https://huggingface.co/datasets/utshobs/bangla-tts-v2)
|
| 24 |
+
- **Language:** Bengali (Bangla)
|
| 25 |
+
- **Task:** Text-to-Speech (TTS)
|
| 26 |
+
- **Framework:** Transformers + PyTorch
|
| 27 |
+
|
| 28 |
+
---
|
| 29 |
+
|
| 30 |
+
## 🚀 Quick Usage
|
| 31 |
+
```python
|
| 32 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 33 |
+
tokenizer = AutoTokenizer.from_pretrained("utshobs/Orpheus_3B_TTS_Bangla_V4")
|
| 34 |
+
model = AutoModelForCausalLM.from_pretrained("utshobs/Orpheus_3B_TTS_Bangla_V4")
|
| 35 |
+
|
| 36 |
+
🪪 License
|
| 37 |
+
|
| 38 |
+
Apache 2.0 License
|
| 39 |
+
|
| 40 |
+
👤 Author
|
| 41 |
+
|
| 42 |
+
Fine-tuned and prepared by Utshob.
|
| 43 |
+
|
bn/Orpheus_3B_TTS_Bangla_V4/chat_template.jinja
ADDED
|
@@ -0,0 +1,93 @@
|
|
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|
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|
|
|
|
| 1 |
+
{{- bos_token }}
|
| 2 |
+
{%- if custom_tools is defined %}
|
| 3 |
+
{%- set tools = custom_tools %}
|
| 4 |
+
{%- endif %}
|
| 5 |
+
{%- if not tools_in_user_message is defined %}
|
| 6 |
+
{%- set tools_in_user_message = true %}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{%- if not date_string is defined %}
|
| 9 |
+
{%- if strftime_now is defined %}
|
| 10 |
+
{%- set date_string = strftime_now("%d %b %Y") %}
|
| 11 |
+
{%- else %}
|
| 12 |
+
{%- set date_string = "26 Jul 2024" %}
|
| 13 |
+
{%- endif %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if not tools is defined %}
|
| 16 |
+
{%- set tools = none %}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
|
| 19 |
+
{#- This block extracts the system message, so we can slot it into the right place. #}
|
| 20 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 21 |
+
{%- set system_message = messages[0]['content']|trim %}
|
| 22 |
+
{%- set messages = messages[1:] %}
|
| 23 |
+
{%- else %}
|
| 24 |
+
{%- set system_message = "" %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
|
| 27 |
+
{#- System message #}
|
| 28 |
+
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
| 29 |
+
{%- if tools is not none %}
|
| 30 |
+
{{- "Environment: ipython\n" }}
|
| 31 |
+
{%- endif %}
|
| 32 |
+
{{- "Cutting Knowledge Date: December 2023\n" }}
|
| 33 |
+
{{- "Today Date: " + date_string + "\n\n" }}
|
| 34 |
+
{%- if tools is not none and not tools_in_user_message %}
|
| 35 |
+
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
| 36 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 37 |
+
{{- "Do not use variables.\n\n" }}
|
| 38 |
+
{%- for t in tools %}
|
| 39 |
+
{{- t | tojson(indent=4) }}
|
| 40 |
+
{{- "\n\n" }}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{{- system_message }}
|
| 44 |
+
{{- "<|eot_id|>" }}
|
| 45 |
+
|
| 46 |
+
{#- Custom tools are passed in a user message with some extra guidance #}
|
| 47 |
+
{%- if tools_in_user_message and not tools is none %}
|
| 48 |
+
{#- Extract the first user message so we can plug it in here #}
|
| 49 |
+
{%- if messages | length != 0 %}
|
| 50 |
+
{%- set first_user_message = messages[0]['content']|trim %}
|
| 51 |
+
{%- set messages = messages[1:] %}
|
| 52 |
+
{%- else %}
|
| 53 |
+
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
| 54 |
+
{%- endif %}
|
| 55 |
+
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
| 56 |
+
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
| 57 |
+
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
| 58 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 59 |
+
{{- "Do not use variables.\n\n" }}
|
| 60 |
+
{%- for t in tools %}
|
| 61 |
+
{{- t | tojson(indent=4) }}
|
| 62 |
+
{{- "\n\n" }}
|
| 63 |
+
{%- endfor %}
|
| 64 |
+
{{- first_user_message + "<|eot_id|>"}}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
|
| 67 |
+
{%- for message in messages %}
|
| 68 |
+
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
| 69 |
+
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
| 70 |
+
{%- elif 'tool_calls' in message %}
|
| 71 |
+
{%- if not message.tool_calls|length == 1 %}
|
| 72 |
+
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
| 73 |
+
{%- endif %}
|
| 74 |
+
{%- set tool_call = message.tool_calls[0].function %}
|
| 75 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 76 |
+
{{- '{"name": "' + tool_call.name + '", ' }}
|
| 77 |
+
{{- '"parameters": ' }}
|
| 78 |
+
{{- tool_call.arguments | tojson }}
|
| 79 |
+
{{- "}" }}
|
| 80 |
+
{{- "<|eot_id|>" }}
|
| 81 |
+
{%- elif message.role == "tool" or message.role == "ipython" %}
|
| 82 |
+
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
| 83 |
+
{%- if message.content is mapping or message.content is iterable %}
|
| 84 |
+
{{- message.content | tojson }}
|
| 85 |
+
{%- else %}
|
| 86 |
+
{{- message.content }}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{{- "<|eot_id|>" }}
|
| 89 |
+
{%- endif %}
|
| 90 |
+
{%- endfor %}
|
| 91 |
+
{%- if add_generation_prompt %}
|
| 92 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
| 93 |
+
{%- endif %}
|
bn/Orpheus_3B_TTS_Bangla_V4/config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 128000,
|
| 8 |
+
"eos_token_id": 128009,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 3072,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 8192,
|
| 14 |
+
"max_position_embeddings": 131072,
|
| 15 |
+
"mlp_bias": false,
|
| 16 |
+
"model_type": "llama",
|
| 17 |
+
"num_attention_heads": 24,
|
| 18 |
+
"num_hidden_layers": 28,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"pad_token_id": 128004,
|
| 21 |
+
"pretraining_tp": 1,
|
| 22 |
+
"rms_norm_eps": 1e-05,
|
| 23 |
+
"rope_scaling": {
|
| 24 |
+
"factor": 32.0,
|
| 25 |
+
"high_freq_factor": 4.0,
|
| 26 |
+
"low_freq_factor": 1.0,
|
| 27 |
+
"original_max_position_embeddings": 8192,
|
| 28 |
+
"rope_type": "llama3"
|
| 29 |
+
},
|
| 30 |
+
"rope_theta": 500000.0,
|
| 31 |
+
"tie_word_embeddings": true,
|
| 32 |
+
"torch_dtype": "bfloat16",
|
| 33 |
+
"transformers_version": "4.55.4",
|
| 34 |
+
"unsloth_fixed": true,
|
| 35 |
+
"unsloth_version": "2025.10.4",
|
| 36 |
+
"use_cache": true,
|
| 37 |
+
"vocab_size": 156940
|
| 38 |
+
}
|
bn/Orpheus_3B_TTS_Bangla_V4/model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:023e4f378a59c2bed8873c40636761f16bb982b36e0108539bb60b0afb57ecc3
|
| 3 |
+
size 4991037968
|
bn/Orpheus_3B_TTS_Bangla_V4/model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56a12b22d6b3a7ce759a9ae41f6e857fb6b5e007f70617ecdc1fe34f44161845
|
| 3 |
+
size 1610725592
|
bn/Orpheus_3B_TTS_Bangla_V4/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,261 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 6601734144
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
| 7 |
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|
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 30 |
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"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 37 |
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|
| 38 |
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"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 44 |
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|
| 45 |
+
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|
| 46 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 47 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 48 |
+
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 56 |
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|
| 57 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
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|
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|
| 260 |
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}
|
| 261 |
+
}
|
bn/Orpheus_3B_TTS_Bangla_V4/source.txt
ADDED
|
@@ -0,0 +1 @@
|
|
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|
|
|
| 1 |
+
https://huggingface.co/utshobs/Orpheus_3B_TTS_Bangla_V4
|
bn/Orpheus_3B_TTS_Bangla_V4/special_tokens_map.json
ADDED
|
@@ -0,0 +1,26 @@
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| 1 |
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{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|audio|>"
|
| 4 |
+
],
|
| 5 |
+
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|
| 6 |
+
"content": "<|begin_of_text|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
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|
| 9 |
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|
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|
| 11 |
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|
| 12 |
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|
| 13 |
+
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|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
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|
| 19 |
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|
| 20 |
+
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|
| 21 |
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|
| 22 |
+
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|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
}
|
| 26 |
+
}
|
bn/Orpheus_3B_TTS_Bangla_V4/tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
|
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|
| 3 |
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size 22849547
|
bn/Orpheus_3B_TTS_Bangla_V4/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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bn/orpheus-bangla-emotional-tts/.gitattributes
ADDED
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
|
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*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
|
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*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
bn/orpheus-bangla-emotional-tts/.model-index/metadata.json
ADDED
|
@@ -0,0 +1,15 @@
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| 1 |
+
{
|
| 2 |
+
"task_categories": [
|
| 3 |
+
{
|
| 4 |
+
"name": "audio",
|
| 5 |
+
"subtasks": [
|
| 6 |
+
{
|
| 7 |
+
"name": "text-to-speech"
|
| 8 |
+
}
|
| 9 |
+
]
|
| 10 |
+
}
|
| 11 |
+
],
|
| 12 |
+
"language": "bn",
|
| 13 |
+
"library_name": "transformers",
|
| 14 |
+
"pipeline_tag": "text-to-speech"
|
| 15 |
+
}
|
bn/orpheus-bangla-emotional-tts/README.md
ADDED
|
@@ -0,0 +1,101 @@
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|
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|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- bn
|
| 4 |
+
tags:
|
| 5 |
+
- text-to-speech
|
| 6 |
+
- bangla
|
| 7 |
+
- bengali
|
| 8 |
+
- orpheus
|
| 9 |
+
- audio
|
| 10 |
+
- emotional-tts
|
| 11 |
+
license: apache-2.0
|
| 12 |
+
datasets:
|
| 13 |
+
- bangla-audio-emotional
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# Orpheus Bangla Emotional TTS Model
|
| 17 |
+
|
| 18 |
+
This is a Text-to-Speech model for Bangla (Bengali) language based on the Orpheus architecture. The model can generate natural-sounding Bangla speech from text input with various emotional styles.
|
| 19 |
+
|
| 20 |
+
## 🎮 Demo
|
| 21 |
+
|
| 22 |
+
Try out the model directly using our Hugging Face Space:
|
| 23 |
+
<a href="https://huggingface.co/spaces/ehzawad/orpheus-bangla-emotional-tts-demo" target="_blank">
|
| 24 |
+
<img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="Open in HF Spaces"/>
|
| 25 |
+
</a>
|
| 26 |
+
|
| 27 |
+
## Model Details
|
| 28 |
+
|
| 29 |
+
- **Model Type:** Text-to-Speech
|
| 30 |
+
- **Language:** Bangla (Bengali)
|
| 31 |
+
- **Architecture:** Orpheus TTS + SNAC decoder
|
| 32 |
+
- **Sample Rate:** 24kHz
|
| 33 |
+
- **Special Features:** Emotional speech synthesis
|
| 34 |
+
- **Emotions:** Various emotional tones including happy, sad, angry, disgusted, frustrated, excited, curious, surprised, etc.
|
| 35 |
+
|
| 36 |
+
## Supported Emotions
|
| 37 |
+
|
| 38 |
+
This model supports the following emotional styles:
|
| 39 |
+
- happy
|
| 40 |
+
- normal
|
| 41 |
+
- disgust
|
| 42 |
+
- sad
|
| 43 |
+
- frustrated
|
| 44 |
+
- slow
|
| 45 |
+
- excited
|
| 46 |
+
- whisper
|
| 47 |
+
- panicky
|
| 48 |
+
- curious
|
| 49 |
+
- surprise
|
| 50 |
+
- fast
|
| 51 |
+
- crying
|
| 52 |
+
- deep
|
| 53 |
+
- sleepy
|
| 54 |
+
- angry
|
| 55 |
+
- high
|
| 56 |
+
- shout
|
| 57 |
+
|
| 58 |
+
## Usage
|
| 59 |
+
|
| 60 |
+
```python
|
| 61 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 62 |
+
from snac import SNAC
|
| 63 |
+
import torch
|
| 64 |
+
import soundfile as sf
|
| 65 |
+
|
| 66 |
+
# Load the models
|
| 67 |
+
tokenizer = AutoTokenizer.from_pretrained("ehzawad/orpheus-bangla-emotional-tts")
|
| 68 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 69 |
+
"ehzawad/orpheus-bangla-emotional-tts",
|
| 70 |
+
torch_dtype=torch.bfloat16,
|
| 71 |
+
device_map="auto"
|
| 72 |
+
)
|
| 73 |
+
snac_model = SNAC.from_pretrained("hubertsiuzdak/snac_24khz").to("cuda")
|
| 74 |
+
|
| 75 |
+
# Sample prompt in Bangla
|
| 76 |
+
prompt = "আপনি কেমন আছেন?" # "How are you?" in Bangla
|
| 77 |
+
|
| 78 |
+
# For emotional speech, add the emotion tag (e.g., for happy)
|
| 79 |
+
emotional_prompt = "<happy>আপনি কেমন আছেন?</happy>"
|
| 80 |
+
|
| 81 |
+
# Add your inference code here
|
| 82 |
+
# (Follow the example_usage.py code for complete inference)
|
| 83 |
+
```
|
| 84 |
+
|
| 85 |
+
## Citation
|
| 86 |
+
|
| 87 |
+
If you use this model, please cite:
|
| 88 |
+
|
| 89 |
+
```
|
| 90 |
+
@misc{ehzawad2025orpheusbangla,
|
| 91 |
+
author = {Ehzawad},
|
| 92 |
+
title = {Orpheus Bangla Emotional TTS},
|
| 93 |
+
year = {2025},
|
| 94 |
+
publisher = {HuggingFace},
|
| 95 |
+
howpublished = {\url{https://huggingface.co/ehzawad/orpheus-bangla-emotional-tts}}
|
| 96 |
+
}
|
| 97 |
+
```
|
| 98 |
+
|
| 99 |
+
## Acknowledgements
|
| 100 |
+
|
| 101 |
+
This model is based on the Orpheus TTS architecture developed by Canopy Labs. We extend our gratitude to the original authors for their work.
|
bn/orpheus-bangla-emotional-tts/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 128000,
|
| 8 |
+
"eos_token_id": 128009,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 3072,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 8192,
|
| 14 |
+
"max_position_embeddings": 131072,
|
| 15 |
+
"mlp_bias": false,
|
| 16 |
+
"model_type": "llama",
|
| 17 |
+
"num_attention_heads": 24,
|
| 18 |
+
"num_hidden_layers": 28,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"pad_token_id": 128004,
|
| 21 |
+
"pretraining_tp": 1,
|
| 22 |
+
"rms_norm_eps": 1e-05,
|
| 23 |
+
"rope_scaling": {
|
| 24 |
+
"factor": 32.0,
|
| 25 |
+
"high_freq_factor": 4.0,
|
| 26 |
+
"low_freq_factor": 1.0,
|
| 27 |
+
"original_max_position_embeddings": 8192,
|
| 28 |
+
"rope_type": "llama3"
|
| 29 |
+
},
|
| 30 |
+
"rope_theta": 500000.0,
|
| 31 |
+
"tie_word_embeddings": true,
|
| 32 |
+
"torch_dtype": "bfloat16",
|
| 33 |
+
"transformers_version": "4.51.0",
|
| 34 |
+
"unsloth_fixed": true,
|
| 35 |
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