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Lfm2.5 230m model by LiquidAI
⭐ 58.4
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Model

Lfm2.5 230m

by LiquidAI liquidai/lfm2.5-230m
Free2AITools Nexus Index
58.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53
P: Popularity 43
R: Recency 100
Q: Quality 65
Tech Context
0.23B Params
4.096K Ctx
Vital Performance
8.3K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 58.4 FNI Score
Tiny 0.23B Params
4k Context
8.3K Downloads
8G GPU ~2GB Est. VRAM
Dense LFM2FORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID liquidai/lfm2.5-230m
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{liquidai_lfm2_5_230m,
  author = {LiquidAI},
  title = {Lfm2.5 230m Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/LiquidAI/LFM2.5-230M}},
  note = {Accessed via Free2AITools.}
}
APA Style
LiquidAI. (2026). Lfm2.5 230m [Model]. Free2AITools. https://huggingface.co/LiquidAI/LFM2.5-230M

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lfm2.5-230m
πŸ€— HF Download
huggingface-cli download liquidai/lfm2.5-230m
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 53
Popularity (P) 43
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lfm2.5 230m: Authority (A:53), Popularity (P:43), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Deployment reference

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
8.3KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--liquidai--lfm2.5-230m
slug
liquidai--lfm2.5-230m
source
huggingface
author
LiquidAI
license
Other
tags
transformers, safetensors, lfm2, text-generation, liquid, lfm2.5, edge, conversational, en, ar, zh, fr, de, ja, ko, es, pt, it, arxiv:2511.23404, base_model:liquidai/lfm2.5-230m-base, base_model:finetune:liquidai/lfm2.5-230m-base, license:other, endpoints_compatible, region:us, eval-results

βš™οΈ Technical Specs

architecture
Lfm2ForCausalLM
params billions
0.23
context length
4,096
pipeline tag
text-generation
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
8,286
stars
null
forks
null

Data indexed from public sources. Updated daily.