[2] python code dataset http://sahil2801/code_instructions_120k [3] 本文使用的数据集 https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca [4] LoRA: Low-Rank Adaptation of Large Language Models. arXiv:2106.09685 [5]. QLoRa: Efficient Finetuning of QuantizedLLMs arXiv...
[2] python code datasethttp://sahil2801/code_instructions_120k [3] 本文使用的数据集https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca [4] LoRA: Low-Rank Adaptation of Large Language Models. arXiv:2106.09685 [5]. QLoRa: Efficient Finetuning of QuantizedLLMs arXiv:2...
# Load model and tokenizer model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, use_cache = False, device_map=device_map) model.config.pretraining_tp = 1 # Load the tokenizer tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) tokenize...
[2] python code dataset http://sahil2801/code_instructions_120k [3] 本文使用的数据集 https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca [4] LoRA: Low-Rank Adaptation of Large Language Models. arXiv:2106.09685 [5]. QLoRa: Efficient Finetuning of QuantizedLLMs arXiv...
tokenizer=AutoTokenizer.from_pretrained(model_id,trust_remote_code=True)tokenizer.pad_token=tokenizer.eos_token tokenizer.padding_side="right" 下面是参数定义, 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Activate4-bit precision base model loading ...
[2] python code dataset http://sahil2801/code_instructions_120k [3] 本文使用的数据集 https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca [4] LoRA: Low-Rank Adaptation of Large Language Models. arXiv:2106.09685
tokenizer=AutoTokenizer.from_pretrained(model_id,trust_remote_code=True)tokenizer.pad_token=tokenizer.eos_token tokenizer.padding_side="right" 下面是参数定义, 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Activate4-bit precision base model loading ...