What are the hardware requirements for LFM2.5 1.2B Instruct Abliterated?

LFM2.5 1.2B Instruct Abliterated requires approximately 2.3 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 1.2B Instruct Abliterated and how large is it?

LFM2.5 1.2B Instruct Abliterated is developed by PinoCookie, a model with 1.2b 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 1.2B Instruct Abliterated?

LFM2.5 1.2B Instruct Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2.5 1.2B Instruct Abliterated by PinoCookie — VRAM 2.3GB, 125K context

Name: LFM2.5 1.2B Instruct Abliterated
Author: PinoCookie

LFM2.5 1.2B Instruct Abliterated is an open-source language model by PinoCookie. Features: 1.2b LLM, VRAM: 2.3GB, Context: 125K, License: other, Instruction-Based, LLM Explorer Score: 0.28.

Abliteration Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-1.2... Conversational En Endpoints compatible Instruct Lfm2 Lfm2.5 Liquid Region:us Safetensors Safety

Model Card on HF 🤗: https://huggingface.co/PinoCookie/LFM2.5-1.2B-Instruct-Abliterated

LFM2.5 1.2B Instruct Abliterated Parameters and Internals

LLM Name	LFM2.5 1.2B Instruct Abliterated
Repository 🤗	https://huggingface.co/PinoCookie/LFM2.5-1.2B-Instruct-Abliterated
Base Model(s)	LiquidAI/LFM2.5-1.2B-Instruct LiquidAI/LFM2.5-1.2B-Instruct
Model Size	1.2b
Required VRAM	2.3 GB
Updated	2026-09-04
Maintainer	PinoCookie
Model Type	lfm2
Instruction-Based	Yes
Model Files	2.3 GB
Supported Languages	en
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	5.16.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the LFM2.5 1.2B Instruct Abliterated 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 1.2B Instruct Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 1.2B Instruct	125K / 2.3 GB	575331	647
...edMCQ LFM2.5 1.2B Answer EN SV	125K / 2.3 GB	443	1
...weMedMCQ LFM2.5 1.2B Answer SV	125K / 2.3 GB	442	1
...weMedMCQ LFM2.5 1.2B Answer EN	125K / 2.3 GB	441	1
...MedMCQ LFM2.5 1.2B Trace SV RW	125K / 2.3 GB	438	1
...MedMCQ LFM2.5 1.2B Trace EN SV	125K / 2.3 GB	438	1
SweMedMCQ LFM2.5 1.2B Trace SV	125K / 2.3 GB	434	1
SweMedMCQ LFM2.5 1.2B Trace EN	125K / 2.3 GB	431	1
Tanpo Marketing	125K / 2.3 GB	1133	2
Tanpo Product	125K / 2.3 GB	982	1

Note: green Score (e.g. "73.2") means that the model is better than PinoCookie/LFM2.5-1.2B-Instruct-Abliterated.