AltCLIP_M9
No estimate
No hardware requirements for this model
This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Beijing Academy of Artificial Intelligence / BAAI
- Organisation type
- Academia
- Country
- China
- Published
- 12 November 2022
- Authors
- Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Fulong Ye, Qinghong Yang, Ledell Wu
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision
- Task
- Language modeling/generation, Chat, Visual question answering, Image generation
- Base model
- CLIP (ViT L/14@336px)
- Numerical format
- FP32
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
- Epochs
- 10
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Open — downloadable
- Model access
- Open weights (unrestricted)
- Training code
- Open source
https://github.com/FlagAI-Open/FlagAI/blob/master/examples/AltCLIP/altclip_ft_bmtrain.py Apache-2.0 license
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- SOTA improvement
- Record confidence
- Unknown
- Citations
- 113
"We set new state-of-the-art performances on a bunch of tasks including ImageNet-CN, Flicker30kCN, COCO-CN and XTD"
Sources
Where this record came from and when it was last checked.
- Reference
- AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
- Last updated
- 25 May 2026
What the numbers mean
What this model is
AltCLIP_M9 was published by Beijing Academy of Artificial Intelligence / BAAI, in China, in November 2022. It comes out of academia.
It works in Multimodal, Language, Vision, and is recorded as doing language modeling/generation, Chat, Visual question answering, Image generation.
It is derived from CLIP (ViT L/14@336px) rather than trained from scratch, which is the usual way a specialised model is produced.
The weights are published, so it can be downloaded and run on your own hardware indefinitely, offline, with no account attached.
Training and provenance
Its inclusion criterion is sOTA improvement.
Answers
AltCLIP_M9 — common questions
Who created AltCLIP_M9?
AltCLIP_M9 was published by Beijing Academy of Artificial Intelligence / BAAI, based in China, categorised as academia.
When was AltCLIP_M9 released?
AltCLIP_M9 was published in November 2022. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is AltCLIP_M9 used for?
AltCLIP_M9 works in Multimodal, Language, Vision, and is recorded as handling language modeling/generation, Chat, Visual question answering, Image generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Where can I download AltCLIP_M9?
The weights for AltCLIP_M9 are published, though we do not hold a repository link for it. This site calculates hardware requirements rather than hosting model files.
What GPU do I need to run AltCLIP_M9?
We cannot say. AltCLIP_M9 has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.
Is AltCLIP_M9 open source?
Its weights are published, so AltCLIP_M9 can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.
How many parameters does AltCLIP_M9 have?
No parameter count has been published for AltCLIP_M9, which is why no memory or speed figure appears on this page.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.