print("Total number of parameters:") mha_total_params = sum(p.numel() for p in mha.parameters()) print(f"MHA: {mha_total_params:,}") gqa_total_params = sum(p.numel() for p in gqa.parameters()) print(f"GQA: {gqa_total_params:,}") Total number of parameters: MHA: 67,108,...
"use_meta_device_init"] = 1 hyperparameters["training_dir"] = "/opt/ml/input/data/train" # path where sagemaker uploads the training data hyperparameters["training_config"] = "config.json" # config file containing llama 70b configuration , change this for tweaking the nu...
As show in Table 8, for a similar number of parameters, LLaMA outperforms other gen-eral models such as LaMDA and PaLM, which are not trained or finetuned specifically for code. LLaMA with 13B parameters and more outper-forms LaMDA 137B on both HumanEval and MBPP. LLaMA 65B also outper...
后来在baichuan2的报告中看到了z-loss[1],加到了llama上,IT WORKS! 从下面的log来看,第一开始还是有loss溢出的情况,但随着z-loss生效,这个问题再也没出现过。可以痛快地fp16了。 ```bash [INFO|trainer.py:1786] 2023-09-27 00:34:06,122 >> Number of trainable parameters = 4,194,304 [2023-09-...
Mistral models has been very well received by the open source community thanks to the usage of Grouped-query attention (GQA) for faster inference, making it highly efficient and performing comparably to model with twice or three times the number of parameters. Today, we a...
Domain knowledge. LLaMA models have performed worse compared to the massive PaLM 540B parameter model. PaLM has wide domain knowledge due to a larger number of parameters. Challenges and Limitations of LLaMA Just like other Large Language Models, LLaMA also suffers from hallucination. It can genera...
现在让我们向前迈出一步,从 Hugging Face下载令人印象深刻的 Llama 2.0 模型和分词器“NousResearch/Llama-2–7b-hf” 。代码还指定了BitsAndBytesConfig对象,该对象用于双量化和 4 位模型格式,以优化模型的性能。 同时,我们创建了一个名为“ print_number_of_trainable_model_parameters ”的方便的辅助函数来...
LLama2是MetaAI公司在2023年推出的一款半开源LLM(所谓半开源即为只有Inference没有Train过程),它是Llama的下一代版本,训练数据集2万亿token,上下文长度由llama的2048扩展到4096,可以理解和生成更长的文本,包括7B、13B、70B三个模型,展现出了卓越的性能,使其迅速在基准测试中崭露头角,标志着生成式人工智能领域的一次...
Launch the instance with above parameters. Task 2: Install Prerequisites for Llama2 As NVIDIA drivers are included in the Oracle Linux GPU build image, we can verify their presence and functionality by running thenvidia-smicommand. This will ensure that everything is properly set up and the GPU...
比较用LoRA微调Roberta、Llama2和Mistral的过程及表现 引言自然语言处理 (NLP) 领域的进展日新月异，你方唱罢我登场。因此，在实际场景中，针对特定的任务，我们经常需要对不同的语言模型进行比较，以寻找最适合的模型。本文主要比较 3 个模型: RoBERTa、Mistral-7B 及 Llama-2-7B。我们用它们来解决一个常见问题 ...