Project AURIONAI Use-Cases Research & Innovation
LLMfamily

Qwen1.5

Qwen1.5 is the beta of Qwen2, a family of open decoder-only language models from 0.5B to 110B parameters with 32K context.

Alibaba (Qwen)
Levelfamily
ClassLLM
Parametersnot in the notes
Context32,768
Released4 Feb 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusnot in the notes

Benchmark Results

vendor-reported
C-EvalChinese language
Qwen1.5-72Bvendor-reported
84.1
050100

Score in %. Higher is better.

4 Feb 2024 qwenlm.github.io
CMMLUChinese language
Qwen1.5-72Bvendor-reported
83.5
050100

Score in %. Higher is better.

4 Feb 2024 qwenlm.github.io
GSM8Kmath
Qwen1.5-72Bvendor-reported
79.5
050100

Score in %. Higher is better.

4 Feb 2024 qwenlm.github.io
HumanEvalcoding
Qwen1.5-72Bvendor-reported
41.5
050100

Score in %. Higher is better.

4 Feb 2024 qwenlm.github.io
MATHmath
Qwen1.5-72Bvendor-reported
34.1
050100

Score in %. Higher is better.

4 Feb 2024 qwenlm.github.io
MBPPcoding
Qwen1.5-72Bvendor-reported
53.4
050100

Score in %. Higher is better.

4 Feb 2024 qwenlm.github.io
MMLUknowledge and reasoning
Qwen1.5-72B5-shotvendor-reported
77.5
050100

Score in %. Higher is better.

4 Feb 2024 qwenlm.github.io
MT-Benchknowledge and reasoning
Qwen1.5-110B-Chataverage scorevendor-reported
8.88
04.59

Score in score. Higher is better.

25 Apr 2024 qwenlm.github.io
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

Lineage

Alibaba (Qwen)Qwen1.5-110B-Chat belongs to this familyLLM25 Apr 2024111.21B
Alibaba (Qwen)Qwen1.5-72B belongs to this familyLLM4 Feb 202472B
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Alibaba (Qwen)
Family
Qwen
Released
4 Feb 2024 sourcesannouncement page
Weights published
–
Record checked
11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer Decoder-only transformer with SwiGLU and attention QKV bias; GQA only in 32B and 110B; an MoE 14B A2.7B member also exists
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
32,768 tokens
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights restricted
Licence
Tongyi Qianwen License Agreement (3 August 2023) sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
measured on a benchmark
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
Multilingual base and chat models; vendor multilingual evaluation covers 12 languages including Indonesian, Vietnamese and Thai
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Industry Use Cases

No industry use case links this model.

Sources

  1. qwenlm.github.io/blog/qwen1.5 https://qwenlm.github.io/blog/qwen1.5/
  2. huggingface.co/Qwen/Qwen1.5-110B-Chat https://huggingface.co/Qwen/Qwen1.5-110B-Chat

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Qwen1.5", https://aurion.semai.id/models/alibaba-qwen1-5/, records of October 2026.