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

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

LFM2.5 2.6B Abliterated Advanced is developed by Guilherme34, 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 Abliterated Advanced?

LFM2.5 2.6B Abliterated Advanced 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 Abliterated Advanced by Guilherme34 — VRAM 5.4GB, 128K context

Name: LFM2.5 2.6B Abliterated Advanced
Author: Guilherme34

LFM2.5 2.6B Abliterated Advanced is an open-source language model by Guilherme34. Features: 2.6b LLM, VRAM: 5.4GB, Context: 128K, LLM Explorer Score: 0.27.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-2.6... Conversational Endpoints compatible Lfm2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Guilherme34/LFM2.5-2.6B-Abliterated-Advanced

LFM2.5 2.6B Abliterated Advanced Parameters and Internals

LLM Name	LFM2.5 2.6B Abliterated Advanced
Repository 🤗	https://huggingface.co/Guilherme34/LFM2.5-2.6B-Abliterated-Advanced
Base Model(s)	LiquidAI/LFM2.5-2.6B LiquidAI/LFM2.5-2.6B
Model Size	2.6b
Required VRAM	5.4 GB
Updated	2026-08-14
Maintainer	Guilherme34
Model Type	lfm2
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.4 GB: 3-of-3
Model Architecture	Lfm2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.13.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM2.5 2.6B Abliterated Advanced 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 Abliterated Advanced

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	716	9
LFM2.5 2.6B Heretic	128K / 5.4 GB	1460	0
Cyber Prime 1 2.6B	128K / 5.4 GB	901	24
LFM2.5 2.6B RLCD	128K / 5.4 GB	352	6
Transductor High V3	128K / 5.4 GB	1284	0
...fm2.5 2.6B Fable5 Coding Agent	128K / 5.4 GB	513	11
LFM 2.5 2.6B Heretic	128K / 5.4 GB	486	5
LFM2.5 2.6B Abliterated	128K / 5.4 GB	196	0
Lfm2.5 2.6B Manumit V1	128K / 5.4 GB	354	0

Note: green Score (e.g. "73.2") means that the model is better than Guilherme34/LFM2.5-2.6B-Abliterated-Advanced.