What are the hardware requirements for LFM2.5 2.6B MLX 8bit?

LFM2.5 2.6B MLX 8bit requires approximately 2.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM2.5 2.6B MLX 8bit and how large is it?

LFM2.5 2.6B MLX 8bit 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 MLX 8bit?

LFM2.5 2.6B MLX 8bit 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 MLX 8bit by LiquidAI — VRAM 2.9GB, 128K context

Name: LFM2.5 2.6B MLX 8bit
Author: LiquidAI

LFM2.5 2.6B MLX 8bit is an open-source language model by LiquidAI. Features: 2.6b LLM, VRAM: 2.9GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.3.

8-bit 8bit Ar Base model:liquidai/lfm2.5-2.6... Base model:quantized:liquidai/... Conversational De Edge En Es Fr Hi Id It Ja Ko Lfm2 Lfm2.5 Liquid Mlx Pl Pt Quantized Region:us Ru Safetensors Th Vi Zh

Model Card on HF 🤗: https://huggingface.co/LiquidAI/LFM2.5-2.6B-MLX-8bit

LFM2.5 2.6B MLX 8bit Parameters and Internals

LLM Name	LFM2.5 2.6B MLX 8bit
Repository 🤗	https://huggingface.co/LiquidAI/LFM2.5-2.6B-MLX-8bit
Base Model(s)	LiquidAI/LFM2.5-2.6B LiquidAI/LFM2.5-2.6B
Model Size	2.6b
Required VRAM	2.9 GB
Updated	2026-08-08
Maintainer	LiquidAI
Model Type	lfm2
Model Files	2.9 GB
Supported Languages	ar zh en fr de hi id it ja ko pl pt ru es th vi
Quantization Type	8bit
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM2.5 2.6B MLX 8bit 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 MLX 8bit

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 2.6B MLX 6bit	128K / 2.2 GB	52	1
LFM2.5 2.6B MLX 5bit	128K / 1.9 GB	49	1
LFM2.5 2.6B MLX 4bit	128K / 1.6 GB	42	1
LFM2 2.6B Exp 8bit	125K / 2.7 GB	16	2
LFM2 2.6B 8bit	125K / 2.7 GB	77	2
LFM2.5 2.6B	128K / 5.4 GB	81522	398
LFM2.5 2.6B MLX Bf16	128K / 5.3 GB	108	2
LFM2.5 2.6B MLX Mxfp4	128K / 1.6 GB	57	2
LFM2.5 2.6B MLX Nvfp4	128K / 1.6 GB	64	1
LFM2.5 2.6B MLX Mxfp8	128K / 2.8 GB	23	1

Note: green Score (e.g. "73.2") means that the model is better than LiquidAI/LFM2.5-2.6B-MLX-8bit.