What are the hardware requirements for LFM2 2.6B Exp?

LFM2 2.6B Exp requires approximately 5.1 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM2 2.6B Exp and how large is it?

LFM2 2.6B Exp is developed by LiquidAI, a model with 2.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LFM2 2.6B Exp?

LFM2 2.6B Exp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2 2.6B Exp by LiquidAI — VRAM 5.1GB, 125K context

Name: LFM2 2.6B Exp
Author: LiquidAI

LFM2 2.6B Exp is an open-source language model by LiquidAI. Features: 2.6b LLM, VRAM: 5.1GB, Context: 125K, License: other, LLM Explorer Score: 0.28.

Arxiv:2511.23404 Ar Base model:finetune:liquidai/l... Base model:liquidai/lfm2-2.6b-... Conversational De Deploy:azure Edge En Endpoints compatible Es Fr Ja Ko Lfm2 Liquid Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/LiquidAI/LFM2-2.6B-Exp

LFM2 2.6B Exp Parameters and Internals

LLM Name	LFM2 2.6B Exp
Repository 🤗	https://huggingface.co/LiquidAI/LFM2-2.6B-Exp
Base Model(s)	LiquidAI/LFM2-2.6B-Exp LiquidAI/LFM2-2.6B-Exp
Model Size	2.6b
Required VRAM	5.1 GB
Updated	2026-07-24
Maintainer	LiquidAI
Model Type	lfm2
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Supported Languages	en ar zh fr de ja ko es
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	4.57.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the LFM2 2.6B Exp capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the LFM2 2.6B Exp

Model	Likes	Downloads	VRAM
LFM2 2.6B Exp 4bit	1	180	1 GB
LFM2 2.6B Exp 8bit	2	16	2 GB
LFM2 2.6B Exp 6bit	1	14	2 GB

Best Alternatives to LFM2 2.6B Exp

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 2.6B	128K / 5.4 GB	81522	398
Cyber Prime 1.1 2.6B	128K / 5.4 GB	1104	12
LFM2.5 2.6B Heretic	128K / 5.4 GB	1460	0
Orbit 3.5 Nano	128K / 5.4 GB	542	0
Cyber Prime 1 2.6B	128K / 5.4 GB	473	25
Orbit 3 Nano	128K / 5.4 GB	258	0
LFM2.5 2.6B Multiharness RL	128K / 5.4 GB	286	2
LFM2.5 2.6B RLCD	128K / 5.4 GB	352	6
LFM2.5 2.6B Opencode SFT	128K / 5.4 GB	263	1
LFM2.5 2.6B Pashto Zi B	128K / 5.4 GB	293	0

Note: green Score (e.g. "73.2") means that the model is better than LiquidAI/LFM2-2.6B-Exp.