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 United States of America, in September 2024. The organisation is categorised as industry.
It works in Language, and is recorded as doing 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
When was LFM 40B released?
LFM 40B 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.
What is LFM 40B used for?
LFM 40B works in Language, and is recorded as handling language modeling/generation, Question answering. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run LFM 40B?
None. LFM 40B 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.
Is LFM 40B open source?
No. LFM 40B has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does LFM 40B have?
LFM 40B has 40.3B parameters. "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.
Who created LFM 40B?
LFM 40B was published by Liquid, based in United States of America, 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.