transformers/docs/source/en/model_doc/qwen2.md

Qwen2

Overview

Qwen2 is the new model series of large language models from the Qwen team. Previously, we released the Qwen series, including Qwen2-0.5B, Qwen2-1.5B, Qwen2-7B, Qwen2-57B-A14B, Qwen2-72B, Qwen2-Audio, etc.

Model Details

Qwen2 is a language model series including decoder language models of different model sizes. For each size, we release the base language model and the aligned chat model. It is based on the Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention, etc. Additionally, we have an improved tokenizer adaptive to multiple natural languages and codes.

Usage tips

Qwen2-7B and Qwen2-7B-Instruct can be found on the Huggingface Hub

In the following, we demonstrate how to use Qwen2-7B-Instruct for the inference. Note that we have used the ChatML format for dialog, in this demo we show how to leverage apply_chat_template for this purpose.

>>> from transformers import AutoModelForCausalLM, AutoTokenizer
>>> device = "cuda" # the device to load the model onto

>>> model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct", device_map="auto")
>>> tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B-Instruct")

>>> prompt = "Give me a short introduction to large language model."

>>> messages = [{"role": "user", "content": prompt}]

>>> text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)

>>> model_inputs = tokenizer([text], return_tensors="pt").to(device)

>>> generated_ids = model.generate(model_inputs.input_ids, max_new_tokens=512, do_sample=True)

>>> generated_ids = [output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)]

>>> response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]

Qwen2Config

autodoc Qwen2Config

Qwen2Tokenizer

autodoc Qwen2Tokenizer - save_vocabulary

Qwen2TokenizerFast

autodoc Qwen2TokenizerFast

Qwen2Model

autodoc Qwen2Model - forward

Qwen2ForCausalLM

autodoc Qwen2ForCausalLM - forward

Qwen2ForSequenceClassification

autodoc Qwen2ForSequenceClassification - forward

Qwen2ForTokenClassification

autodoc Qwen2ForTokenClassification - forward

Qwen2ForQuestionAnswering

autodoc Qwen2ForQuestionAnswering - forward