tokenizer = Llama2TokenizerFast.from_pretrained(model_dir) prompt = "Hey, are you conscious? Can you talk to me?" inputs = tokenizer(prompt, return_tensors="pt") # Generate generate_ids = model.generate(inputs.input_ids, max_length=30) print(tokenizer.batch_decode(generate_ids, skip_sp...
模型链接:https://modelscope.cn/models/OpenBuddy/openbuddy-llama2-13b-v8.1-fp16/summary 模型下载,load model,tokenizer import torch from modelscope import AutoConfig, AutoTokenizer, AutoModelForCausalLM model_id = 'OpenBuddy/openbuddy-llama2-13b-v8.1-fp16' model_config = AutoConfig.from_pretra...
'interval': args.tb_interval } ] }, 'evaluation': { 'dataloader': { 'batch_size_per_gpu': args.batch_size, 'workers_per_gpu': 1, 'shuffle': False, 'drop_last': False, 'pin_memory': True }, 'metrics': [{ 'type': 'my_metric', 'vocab_size': tokenizer.vocab_size }] } ...
mindspore_lite-2 master/mindspore type/accuracy icommander mindspore/lite wenote r2.2 r2.3.q1 br_infer br_train br_base master infer/ic15 r1.1.0 dev baichuan2/tokenizer predict_baichuan2_7b llama2/70b llama2/7b v2.3.0.rc3 usr/share ...
We compare the training loss of the Llama 2 family of models. We observe that after pretraining on 2T Tokens, the models still did not show any sign of saturation. Tokenizer. We use the same tokenizer as Llama 1; it employs a bytepair encoding (BPE) algorithm (Sennrich et al., 2016...
pin tokenizers version 2个月前 setup.py support batch infer in vllm 1个月前 README Apache-2.0 目录 项目特色 性能指标 更新日志 模型 训练方法 数据集 软硬件依赖 硬件依赖 如何使用 安装LLaMA Factory 数据准备 快速开始 LLaMA Board 可视化微调(由 Gradio 驱动) 构建Docker 利用vLLM 部署 OpenA...
LlamaIndex is a data framework for your LLM applications - llama_index/CHANGELOG.md at feature/lindormsearch-vector-db · Rainy-GG/llama_index
June, 1, 2023: support for 4bit training + inference, providing a multi-GPU inference interface (NOTICE THAT the environment is different from the original 8bit! Also provides test_tokenizers.py to further check EOS token) May 17, 2023: Llama 7B fine-tuning example onlegaldomains, The perf...
The error you are encountering happens because the model name llama3.2:3b is not automatically recognized by the tiktoken library, which is responsible for handling the tokenization process. The error message suggests that tiktoken cannot map llama3.2:3b to an appropriate tokenizer. ...
TGS (tokens/GPU/second), MFU (model FLOPs utilization) Other visualization utilities Dynamic Weight Sampling: Self-defined static sampling weights Sheared LLaMA's dynamic batch loading (Xia et al., 2023)🚀 QuickStart# python>=3.10 import torch from transformers import AutoTokenizer, AutoModelFor...