What are the hardware requirements for LFM2.5 2.6B Base?

LFM2.5 2.6B Base requires approximately 5.4 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 LFM2.5 2.6B Base and how large is it?

LFM2.5 2.6B Base 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 LFM2.5 2.6B Base?

LFM2.5 2.6B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2.5 2.6B Base by LiquidAI — VRAM 5.4GB, 125K context

Name: LFM2.5 2.6B Base
Author: LiquidAI

LFM2.5 2.6B Base is an open-source language model by LiquidAI. Features: 2.6b LLM, VRAM: 5.4GB, Context: 125K, License: other, LLM Explorer Score: 0.38.

Model Card on HF 🤗: https://huggingface.co/LiquidAI/LFM2.5-2.6B-Base

LFM2.5 2.6B Base Parameters and Internals

LLM Name	LFM2.5 2.6B Base
Repository 🤗	https://huggingface.co/LiquidAI/LFM2.5-2.6B-Base
Model Size	2.6b
Required VRAM	5.4 GB
Updated	2026-08-08
Maintainer	LiquidAI
Model Type	lfm2
Model Files	5.4 GB
Supported Languages	ar zh en fr de hi id it ja ko pl pt ru es th vi
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	5.9.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM2.5 2.6B Base 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

Best Alternatives to LFM2.5 2.6B Base

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 2.6B	128K / 5.4 GB	81522	398
LFM2 2.6B Exp	125K / 5.1 GB	3203	339
LFM2 2.6B	125K / 5.1 GB	6778	188
LFM2 2.6B Transcript	125K / 5.1 GB	459	171
LFM2 2.6B Transcript ONNX	125K / GB	71	13
LFM2 2.6B Exp	125K / 5.1 GB	55	3
LFM2 2.6B Exp 8bit	125K / 2.7 GB	16	2
LFM2 2.6B 8bit	125K / 2.7 GB	77	2

Note: green Score (e.g. "73.2") means that the model is better than LiquidAI/LFM2.5-2.6B-Base.