LFM 40B
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
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
- Liquid
- Organisation type
- Industry
- Country
- United States of America
- Published
- 30 September 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Question answering
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.
- Parameters
- 40.3B
- Training data
- tokens
"A 40.3B Mixture of Experts (MoE) model, designed for tackling more complex tasks." "LFM-40B offers a new balance between model size and output quality. It leverages 12B activated parameters at use."
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
- Closed — provider access only
- Model access
- API access
- Training code
- Unreleased
"Try LFMs today on Liquid Playground, Lambda (Chat UI and API), Perplexity Labs, and soon on Cerebras Inference. The LFM stack is being optimized for NVIDIA, AMD, Qualcomm, Cerebras, and Apple hardware."
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Liquid Foundation Models: Our First Series of Generative AI Models
- Last updated
- 28 November 2025
What the numbers mean
What this model is
LFM 40B was published by Liquid, in the country recorded as United States of America, during September 2024. The publishing organisation is categorised as industry.
It works in the domain of Language, and is recorded as performing the task of language modeling/generation, Question answering.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
LFM 40B — common questions
LFM 40B— when was it released?
It was published in September 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
LFM 40B— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling/generation, Question answering. These are the areas it was designed around; they describe intent rather than a hard boundary.
LFM 40B— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
LFM 40B— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
LFM 40B— how many parameters does it have?
It has a parameter count of 40.3B. "A 40.3B Mixture of Experts (MoE) model, designed for tackling more complex tasks." "LFM-40B offers a new balance between model size and output quality. It leverages 12B activated parameters at use.". That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
LFM 40B— who created it?
It was published by Liquid, based in United States of America, an organisation categorised as industry.
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.