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Orpheus (es)

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  1. .gitattributes +26 -0
  2. es/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/.gitattributes +47 -0
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  15. es/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/README.md +79 -0
  16. es/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/source.txt +1 -0
  17. es/Llama-3.2-3B-Orpheus-Chilean-1795/.gitattributes +36 -0
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  19. es/Llama-3.2-3B-Orpheus-Chilean-1795/config.json +35 -0
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  28. es/Llama-3.2-3B-Orpheus-Chilean-1795/tokenizer_config.json +0 -0
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  42. es/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/README.md +79 -0
  43. es/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/source.txt +1 -0
  44. es/Llama-3.2-3B-Orpheus-Rioplatense-1795/.gitattributes +36 -0
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  46. es/Llama-3.2-3B-Orpheus-Rioplatense-1795/config.json +35 -0
  47. es/Llama-3.2-3B-Orpheus-Rioplatense-1795/generation_config.json +9 -0
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1
+ ---
2
+ base_model: marianbasti/Llama-3.2-3B-Orpheus-Chilean-1795
3
+ datasets:
4
+ - ylacombe/google-chilean-spanish
5
+ language:
6
+ - es
7
+ library_name: transformers
8
+ license: llama3.2
9
+ mradermacher:
10
+ readme_rev: 1
11
+ quantized_by: mradermacher
12
+ tags:
13
+ - text-to-speech
14
+ - chilean
15
+ - argentinian
16
+ - speech
17
+ ---
18
+ ## About
19
+
20
+ <!-- ### quantize_version: 2 -->
21
+ <!-- ### output_tensor_quantised: 1 -->
22
+ <!-- ### convert_type: hf -->
23
+ <!-- ### vocab_type: -->
24
+ <!-- ### tags: -->
25
+ <!-- ### 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 -->
26
+ <!-- ### quants_skip: -->
27
+ <!-- ### skip_mmproj: -->
28
+ static quants of https://huggingface.co/marianbasti/Llama-3.2-3B-Orpheus-Chilean-1795
29
+
30
+ <!-- provided-files -->
31
+
32
+ ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-3.2-3B-Orpheus-Chilean-1795-GGUF).***
33
+
34
+ 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.
35
+ ## Usage
36
+
37
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
38
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
39
+ more details, including on how to concatenate multi-part files.
40
+
41
+ ## Provided Quants
42
+
43
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
44
+
45
+ | Link | Type | Size/GB | Notes |
46
+ |:-----|:-----|--------:|:------|
47
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q2_K.gguf) | Q2_K | 1.5 | |
48
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality |
50
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q3_K_L.gguf) | Q3_K_L | 2.0 | |
51
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
52
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
53
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
54
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
55
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
56
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
57
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
58
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Chilean-1795.f16.gguf) | f16 | 6.7 | 16 bpw, overkill |
59
+
60
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
61
+ types (lower is better):
62
+
63
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
64
+
65
+ And here are Artefact2's thoughts on the matter:
66
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
67
+
68
+ ## FAQ / Model Request
69
+
70
+ See https://huggingface.co/mradermacher/model_requests for some answers to
71
+ questions you might have and/or if you want some other model quantized.
72
+
73
+ ## Thanks
74
+
75
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
76
+ me use its servers and providing upgrades to my workstation to enable
77
+ this work in my free time.
78
+
79
+ <!-- end -->
es/Llama-3.2-3B-Orpheus-Chilean-1795-GGUF/source.txt ADDED
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1
+ ---
2
+ license: llama3.2
3
+ datasets:
4
+ - ylacombe/google-chilean-spanish
5
+ language:
6
+ - es
7
+ base_model:
8
+ - canopylabs/3b-es_it-ft-research_release
9
+ pipeline_tag: text-to-speech
10
+ library_name: transformers
11
+ tags:
12
+ - text-to-speech
13
+ - chilean
14
+ - argentinian
15
+ - speech
16
+ ---
17
+
18
+ # Orpheus 3B Chilean Spanish finetune
19
+
20
+ Orpheus TTS is a Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model has been finetuned from [canopylabs/3b-es_it-ft-research_release](https://huggingface.co/canopylabs/3b-es_it-ft-research_release) with [ylacombe/google-argentinian-spanish](https://huggingface.co/datasets/ylacombe/google-argentinian-spanish) to deliver human-level, Chilean accent speech synthesis, achieving clarity, expressiveness, and real-time streaming performances.
21
+
22
+ # Model Details
23
+
24
+ ### Model Capabilities
25
+
26
+ - **Human-Like Speech**: Natural intonation, emotion, and rhythm that is superior to SOTA closed source models
27
+ - **Zero-Shot Voice Cloning**: Clone voices without prior fine-tuning
28
+ - **Guided Emotion and Intonation**: Control speech and emotion characteristics with simple tags
29
+ - **Low Latency**: ~200ms streaming latency for realtime applications, reducible to ~100ms with input streaming
30
+
31
+
32
+ ### Model Sources
33
+
34
+ - **GitHub Repo:** [https://github.com/canopyai/Orpheus-TTS](https://github.com/canopyai/Orpheus-TTS)
35
+ - **Blog Post:** [https://canopylabs.ai/model-releases](https://canopylabs.ai/releases/orpheus_can_speak_any_language)
36
+ - **Colab Inference Notebook:** [notebook link](https://colab.research.google.com/drive/1KhXT56UePPUHhqitJNUxq63k-pQomz3N?usp=sharing)
37
+
38
+
39
+ # Usage
40
+
41
+ Check out Colab ([link to Colab](https://colab.research.google.com/drive/1KhXT56UePPUHhqitJNUxq63k-pQomz3N?usp=sharing)) or GitHub ([link to GitHub](https://github.com/canopyai/Orpheus-TTS)) on how to run easy inference on our finetuned models.
42
+
43
+
44
+ # Model Misuse
45
+ Do not use our models for impersonation without consent, misinformation or deception (including fake news or fraudulent calls), or any illegal or harmful activity. By using this model, you agree to follow all applicable laws and ethical guidelines. We disclaim responsibility for any use.
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1
+ ---
2
+ base_model: surus-ai/Llama-3.2-3B-Orpheus-Rioplatense-1795
3
+ datasets:
4
+ - ylacombe/google-argentinian-spanish
5
+ language:
6
+ - es
7
+ library_name: transformers
8
+ license: llama3.2
9
+ mradermacher:
10
+ readme_rev: 1
11
+ quantized_by: mradermacher
12
+ tags:
13
+ - text-to-speech
14
+ - rioplatense
15
+ - argentinian
16
+ - speech
17
+ ---
18
+ ## About
19
+
20
+ <!-- ### quantize_version: 2 -->
21
+ <!-- ### output_tensor_quantised: 1 -->
22
+ <!-- ### convert_type: hf -->
23
+ <!-- ### vocab_type: -->
24
+ <!-- ### tags: -->
25
+ <!-- ### 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 -->
26
+ <!-- ### quants_skip: -->
27
+ <!-- ### skip_mmproj: -->
28
+ static quants of https://huggingface.co/surus-ai/Llama-3.2-3B-Orpheus-Rioplatense-1795
29
+
30
+ <!-- provided-files -->
31
+
32
+ ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF).***
33
+
34
+ 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.
35
+ ## Usage
36
+
37
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
38
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
39
+ more details, including on how to concatenate multi-part files.
40
+
41
+ ## Provided Quants
42
+
43
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
44
+
45
+ | Link | Type | Size/GB | Notes |
46
+ |:-----|:-----|--------:|:------|
47
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q2_K.gguf) | Q2_K | 1.5 | |
48
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality |
50
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q3_K_L.gguf) | Q3_K_L | 2.0 | |
51
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
52
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
53
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
54
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
55
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
56
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
57
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
58
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/resolve/main/Llama-3.2-3B-Orpheus-Rioplatense-1795.f16.gguf) | f16 | 6.7 | 16 bpw, overkill |
59
+
60
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
61
+ types (lower is better):
62
+
63
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
64
+
65
+ And here are Artefact2's thoughts on the matter:
66
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
67
+
68
+ ## FAQ / Model Request
69
+
70
+ See https://huggingface.co/mradermacher/model_requests for some answers to
71
+ questions you might have and/or if you want some other model quantized.
72
+
73
+ ## Thanks
74
+
75
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
76
+ me use its servers and providing upgrades to my workstation to enable
77
+ this work in my free time.
78
+
79
+ <!-- end -->
es/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF/source.txt ADDED
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1
+ https://huggingface.co/mradermacher/Llama-3.2-3B-Orpheus-Rioplatense-1795-GGUF
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1
+ ---
2
+ license: llama3.2
3
+ datasets:
4
+ - ylacombe/google-argentinian-spanish
5
+ language:
6
+ - es
7
+ base_model:
8
+ - canopylabs/3b-es_it-ft-research_release
9
+ pipeline_tag: text-to-speech
10
+ library_name: transformers
11
+ tags:
12
+ - text-to-speech
13
+ - rioplatense
14
+ - argentinian
15
+ - speech
16
+ ---
17
+
18
+ # Orpheus 3B Rioplatense Spanish finetune
19
+
20
+ Orpheus TTS is a Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model has been finetuned from [canopylabs/3b-es_it-ft-research_release](https://huggingface.co/canopylabs/3b-es_it-ft-research_release) with [ylacombe/google-argentinian-spanish](https://huggingface.co/datasets/ylacombe/google-argentinian-spanish) to deliver human-level, Rioplatense accent speech synthesis, achieving clarity, expressiveness, and real-time streaming performances.
21
+
22
+ Find an inference API endpoint for this model at [surus](https://surus.dev/)! Sign up and get free credits to test out this and other SoTA LM models!
23
+
24
+ # Model Details
25
+
26
+ ### Model Capabilities
27
+
28
+ - **Human-Like Speech**: Natural intonation, emotion, and rhythm that is superior to SOTA closed source models
29
+ - **Zero-Shot Voice Cloning**: Clone voices without prior fine-tuning
30
+ - **Guided Emotion and Intonation**: Control speech and emotion characteristics with simple tags
31
+ - **Low Latency**: ~200ms streaming latency for realtime applications, reducible to ~100ms with input streaming
32
+
33
+
34
+ ### Model Sources
35
+
36
+ - **GitHub Repo:** [https://github.com/canopyai/Orpheus-TTS](https://github.com/canopyai/Orpheus-TTS)
37
+ - **Blog Post:** [https://canopylabs.ai/model-releases](https://canopylabs.ai/releases/orpheus_can_speak_any_language)
38
+ - **Colab Inference Notebook:** [notebook link](https://colab.research.google.com/drive/1KhXT56UePPUHhqitJNUxq63k-pQomz3N?usp=sharing)
39
+
40
+
41
+ # Usage
42
+
43
+ Check out Colab ([link to Colab](https://colab.research.google.com/drive/1KhXT56UePPUHhqitJNUxq63k-pQomz3N?usp=sharing)) or GitHub ([link to GitHub](https://github.com/canopyai/Orpheus-TTS)) on how to run easy inference on our finetuned models.
44
+
45
+
46
+ # Model Misuse
47
+ Do not use our models for impersonation without consent, misinformation or deception (including fake news or fraudulent calls), or any illegal or harmful activity. By using this model, you agree to follow all applicable laws and ethical guidelines. We disclaim responsibility for any use.
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