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Orpheus (ja, pl/en)

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+ ---
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+ library_name: transformers
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+ tags:
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+ - unsloth
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+ - transformers
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+ - speech
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+ datasets:
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+ - kadirnar/StoryTTS
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+ language:
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+ - ja
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+ base_model:
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+ - canopylabs/orpheus-3b-0.1-pretrained
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+ ---
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+
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ ## Uses
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ ## Training Details
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ ## Evaluation
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+ #### Factors
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ - **Carbon Emitted:** [More Information Needed]
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+ ## Technical Specifications [optional]
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+ ### Model Architecture and Objective
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+ ### Compute Infrastructure
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1
+ ---
2
+ base_model: TeeZee/Orpheus-TTS-pl-v1.0
3
+ datasets:
4
+ - amu-cai/nEMO
5
+ language:
6
+ - en
7
+ - pl
8
+ library_name: transformers
9
+ license: apache-2.0
10
+ mradermacher:
11
+ readme_rev: 1
12
+ quantized_by: mradermacher
13
+ tags:
14
+ - text-generation-inference
15
+ - transformers
16
+ - unsloth
17
+ - llama
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/TeeZee/Orpheus-TTS-pl-v1.0
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-TTS-pl-v1.0-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-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q2_K.gguf) | Q2_K | 1.5 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality |
51
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q3_K_L.gguf) | Q3_K_L | 2.0 | |
52
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
54
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
55
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
56
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
57
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
58
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
59
+ | [GGUF](https://huggingface.co/mradermacher/Orpheus-TTS-pl-v1.0-GGUF/resolve/main/Orpheus-TTS-pl-v1.0.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
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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 -->
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1
+ ---
2
+ base_model: unsloth/orpheus-3b-0.1-ft
3
+ tags:
4
+ - text-generation-inference
5
+ - transformers
6
+ - unsloth
7
+ - llama
8
+ license: apache-2.0
9
+ language:
10
+ - en
11
+ - pl
12
+ datasets:
13
+ - amu-cai/nEMO
14
+ ---
15
+ Experimental work to train Polish language, only 4 epochs but already loss 2.5 and it sounds quite good. No new speakers used. 3h on colab. More to come.
16
+ # Uploaded finetuned model
17
+
18
+ - **Developed by:** TeeZee
19
+ - **License:** apache-2.0
20
+ - **Finetuned from model :** unsloth/orpheus-3b-0.1-ft
21
+
22
+ This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
23
+
24
+ [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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1
+ {{- bos_token }}
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+ {%- if custom_tools is defined %}
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+ {%- set tools = custom_tools %}
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+ {%- endif %}
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+ {%- if not tools_in_user_message is defined %}
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+ {%- set tools_in_user_message = true %}
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+ {%- endif %}
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+ {%- if not date_string is defined %}
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+ {%- if strftime_now is defined %}
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+ {%- set date_string = strftime_now("%d %b %Y") %}
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+ {%- else %}
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+ {%- set date_string = "26 Jul 2024" %}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- if not tools is defined %}
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+ {%- set tools = none %}
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+ {%- endif %}
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+
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+ {#- This block extracts the system message, so we can slot it into the right place. #}
20
+ {%- if messages[0]['role'] == 'system' %}
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+ {%- set system_message = messages[0]['content']|trim %}
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+ {%- set messages = messages[1:] %}
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+ {%- else %}
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+ {%- set system_message = "" %}
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+ {%- endif %}
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+
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+ {#- System message #}
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+ {{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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+ {%- if tools is not none %}
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+ {{- "Environment: ipython\n" }}
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+ {%- endif %}
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+ {{- "Cutting Knowledge Date: December 2023\n" }}
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+ {{- "Today Date: " + date_string + "\n\n" }}
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+ {%- if tools is not none and not tools_in_user_message %}
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+ {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- system_message }}
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+ {{- "<|eot_id|>" }}
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+
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+ {#- Custom tools are passed in a user message with some extra guidance #}
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+ {%- if tools_in_user_message and not tools is none %}
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+ {#- Extract the first user message so we can plug it in here #}
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+ {%- if messages | length != 0 %}
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+ {%- set first_user_message = messages[0]['content']|trim %}
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+ {%- set messages = messages[1:] %}
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+ {%- else %}
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+ {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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+ {%- endif %}
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+ {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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+ {{- "Given the following functions, please respond with a JSON for a function call " }}
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+ {{- "with its proper arguments that best answers the given prompt.\n\n" }}
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+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {{- first_user_message + "<|eot_id|>"}}
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+ {%- endif %}
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+
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+ {%- for message in messages %}
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+ {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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+ {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
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+ {%- elif 'tool_calls' in message %}
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+ {%- if not message.tool_calls|length == 1 %}
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+ {{- raise_exception("This model only supports single tool-calls at once!") }}
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+ {%- endif %}
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+ {%- set tool_call = message.tool_calls[0].function %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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+ {{- '{"name": "' + tool_call.name + '", ' }}
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+ {{- '"parameters": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {{- "}" }}
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+ {{- "<|eot_id|>" }}
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+ {%- elif message.role == "tool" or message.role == "ipython" %}
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+ {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
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+ {%- if message.content is mapping or message.content is iterable %}
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+ {{- message.content | tojson }}
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+ {%- else %}
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+ {{- message.content }}
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+ {%- endif %}
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+ {{- "<|eot_id|>" }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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+ {%- endif %}
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+ "unsloth_version": "2025.8.10",
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+ "use_cache": true,
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+ "vocab_size": 156940
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+ }
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