What are the hardware requirements for LFM2.5 350M IT Extract?

LFM2.5 350M IT Extract requires approximately 0.7 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 350M IT Extract and how large is it?

LFM2.5 350M IT Extract is developed by andreagemelli, a model with 350m 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 350M IT Extract?

LFM2.5 350M IT Extract is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2.5 350M IT Extract by andreagemelli — VRAM 0.7GB, 125K context

Name: LFM2.5 350M IT Extract
Author: andreagemelli

LFM2.5 350M IT Extract is an open-source language model by andreagemelli. Features: 350m LLM, VRAM: 0.7GB, Context: 125K, LLM Explorer Score: 0.28.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-350... Conversational Dataset:andreagemelli/xfund-ki... Endpoints compatible Generated from trainer It Kie Lfm2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/andreagemelli/LFM2.5-350M-IT-Extract

LFM2.5 350M IT Extract Parameters and Internals

LLM Name	LFM2.5 350M IT Extract
Repository 🤗	https://huggingface.co/andreagemelli/LFM2.5-350M-IT-Extract
Model Name	lfm2-sft
Base Model(s)	LiquidAI/LFM2.5-350M LiquidAI/LFM2.5-350M
Model Size	350m
Required VRAM	0.7 GB
Updated	2026-09-04
Maintainer	andreagemelli
Model Type	lfm2
Model Files	0.7 GB 0.0 GB
Supported Languages	it
Model Architecture	Lfm2ForCausalLM
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 350M IT Extract capabilities

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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 350M IT Extract

Best Alternatives	Context / RAM	Downloads	Likes
Minico M1 Preview	125K / 0.8 GB	473	1
LFM2.5 350M	125K / 0.7 GB	91807	384
LFM2.5 350M Thinking 0003	125K / 0.7 GB	1022	0
LFM2.5 350M Base	125K / 0.7 GB	9543	24
LFM2.5 350M Thinking	125K / 0.7 GB	604	0
LFM2.5 350M RLCD	125K / 0.7 GB	204	3
LFM2.5 350M	125K / 0.7 GB	27	1
LFM2 350M Extract Facts	125K / 0.7 GB	40	0
LFM2.5 350M Ifstruct	125K / 0.7 GB	33	1
LFM2.5 350M Memory Extractor	125K / 0.7 GB	144	1

Note: green Score (e.g. "73.2") means that the model is better than andreagemelli/LFM2.5-350M-IT-Extract.