Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters

0.5B 1.8B 4B 32B 72B 110B

2M Pulls Updated 11 days ago

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4 months ago

d53d04290064 · 2.3GB

model
qwen2
·
3.95B
·
Q4_0
params
{"stop":["<|im_start|>","<|im_end|>"]}
template
{{ if .System }}<|im_start|>system {{ .System }}<|im_end|>{{ end }}<|im_start|>user {{ .Prompt }}<|im_end|> <|im_start|>assistant
license
Tongyi Qianwen RESEARCH LICENSE AGREEMENT Tongyi Qianwen Release Date: November 30, 2023 By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen RESEARCH LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models, and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. i. "Non-Commercial" shall mean for research or evaluation purposes only. 2. Grant of Rights a. 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Readme

Qwen 2 is now available here.

Qwen is a series of transformer-based large language models by Alibaba Cloud, pre-trained on a large volume of data, including web texts, books, code, etc.

New in Qwen 1.5

  • 6 model sizes, including 0.5B, 1.8B, 4B (default), 7B, 14B, 32B (new) and 72B
    • ollama run qwen:0.5b
    • ollama run qwen:1.8b
    • ollama run qwen:4b
    • ollama run qwen:7b
    • ollama run qwen:14b
    • ollama run qwen:32b
    • ollama run qwen:72b
    • ollama run qwen:110b
  • Significant performance improvement in human preference for chat models
  • Multilingual support of both base and chat models
  • Stable support of 32K context length for models of all sizes

The original Qwen model is offered in four different parameter sizes: 1.8B, 7B, 14B, and 72B.

Features

  • Low-cost deployment: the minimum memory requirement for inference is less than 2GB.

  • Large-scale high-quality training corpora: Models are pre-trained on over 2.2 trillion tokens, including Chinese, English, multilingual texts, code, and mathematics, covering general and professional fields. The distribution of the pre-training corpus has been optimized through a large number of ablation experiments.

  • Good performance: Qwen supports long context lengths (8K on the 1.8b, 7b and 14b parameter models, and 32K on the 72b parameter model), and significantly surpasses existing open-source models of similar scale on multiple Chinese and English downstream evaluation tasks (including common-sense, reasoning, code, mathematics, etc.), and even surpasses some larger-scale models in several benchmarks.

  • More comprehensive vocabulary coverage: Compared with other open-source models based on Chinese and English vocabularies, Qwen uses a vocabulary of over 150K tokens. This vocabulary is more friendly to multiple languages, enabling users to directly further enhance the capability for certain languages without expanding the vocabulary.

  • System prompt: Qwen can realize role playing, language style transfer, task setting, and behavior-setting by using a system prompt.

Reference

GitHub

Hugging Face