Instructions to use kingfang008/step-audio-editx-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kingfang008/step-audio-editx-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir step-audio-editx-4bit-mlx kingfang008/step-audio-editx-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 757 Bytes
e3fd4d4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"legacy": false,
"model_max_length": 65536,
"pad_token": "<unk>",
"padding_side": "left",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false,
"chat_template": "{% if messages[0]['role'] == 'system' %}{{ '<s>' }}{% endif %}{% for message in messages %}{% if message['role'] == 'user' %}{% set role = 'human' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<|BOT|> ' + role + '\\n' }}{{ message['content'] }}{% if not loop.last or message['role'] != 'assistant' %}{{ '<|EOT|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|BOT|> assistant\\n' }}{% endif %}"
}
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