Instructions to use shilimin/deepseek-llm-7b-chat-keyi-xiaoche with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shilimin/deepseek-llm-7b-chat-keyi-xiaoche with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-llm-7b-chat") model = PeftModel.from_pretrained(base_model, "shilimin/deepseek-llm-7b-chat-keyi-xiaoche") - Notebooks
- Google Colab
- Kaggle
File size: 3,565 Bytes
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"add_eos_token": false,
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"added_tokens_decoder": {
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"content": "<|begin▁of▁sentence|>",
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},
"bos_token": "<|begin▁of▁sentence|>",
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|end▁of▁sentence|>",
"extra_special_tokens": {},
"legacy": true,
"model_max_length": 4096,
"pad_token": "<|end▁of▁sentence|>",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": null,
"use_default_system_prompt": false
}
|