LLM
Qwen1.5-72B
Qwen1.5-72B is the 72B base model of the Qwen1.5 series; its chat version Qwen1.5-72B-Chat was released alongside.
Levelmodel
ClassLLM
Parameters72B
Context32,768
Released4 Feb 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusnot in the notes
Benchmark Results
vendor-reported
C-EvalChinese language
vendor-reported
84.1
050100
Score in %. Higher is better.
CMMLUChinese language
vendor-reported
83.5
050100
Score in %. Higher is better.
GSM8Kmath
vendor-reported
79.5
050100
Score in %. Higher is better.
HumanEvalcoding
vendor-reported
41.5
050100
Score in %. Higher is better.
MATHmath
vendor-reported
34.1
050100
Score in %. Higher is better.
MBPPcoding
vendor-reported
53.4
050100
Score in %. Higher is better.
MMLUknowledge and reasoning
5-shotvendor-reported
77.5
050100
Score in %. Higher is better.
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).
Runtimes
Identity
- Developer
- Alibaba (Qwen)
- Family
- Qwen1.5
- Released
- 4 Feb 2024 sourcesannouncement page
- Weights published
- 23 Jan 2024
- 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
- Total parameters
- 72B 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
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
- Vendor multilingual evaluation covers Arabic, Spanish, French, Portuguese, German, Italian, Russian, Japanese, Korean, Indonesian, Vietnamese and Thai
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperAlibaba (Qwen)big tech, China
Alibaba (Qwen)big tech, ChinaModelQwen1.5-72BAlibaba (Qwen), LLM
Qwen1.5-72BAlibaba (Qwen), LLMUse CasesClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrialTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Models 1
Organisations 1
Sources
- qwenlm.github.io/blog/qwen1.5 https://qwenlm.github.io/blog/qwen1.5/
- huggingface.co/Qwen/Qwen1.5-72B-Chat https://huggingface.co/Qwen/Qwen1.5-72B-Chat
- huggingface.co/api/models/Qwen/Qwen1.5-72B https://huggingface.co/api/models/Qwen/Qwen1.5-72B
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Qwen1.5-72B", https://aurion.semai.id/models/alibaba-qwen1-5-72b/, records of October 2026.