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Lfm2.5 Embedding 350m model by LiquidAI
⭐ 57.3
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Model

Lfm2.5 Embedding 350m

by LiquidAI liquidai/lfm2.5-embedding-350m
Free2AITools Nexus Index
57.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 39
R: Recency 100
Q: Quality 65
Tech Context
0.35B Params
4.096K Ctx
Vital Performance
4.8K DL / 30D
Source β†’
Low FNI signal 57.3 FNI Score
Tiny 0.35B Params
4k Context
4.8K Downloads
8G GPU ~2GB Est. VRAM
Dense LFM2BIDIRECTIONALMODEL Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID liquidai/lfm2.5-embedding-350m
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.6GB 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_embedding_350m,
  author = {LiquidAI},
  title = {Lfm2.5 Embedding 350m Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/LiquidAI/LFM2.5-Embedding-350M}},
  note = {Accessed via Free2AITools.}
}
APA Style
LiquidAI. (2026). Lfm2.5 Embedding 350m [Model]. Free2AITools. https://huggingface.co/LiquidAI/LFM2.5-Embedding-350M

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lfm2.5-embedding-350m
πŸ€— HF Download
huggingface-cli download liquidai/lfm2.5-embedding-350m
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) 52
Popularity (P) 39
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lfm2.5 Embedding 350m: Authority (A:52), Popularity (P:39), 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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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
4.8KDownloads
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-embedding-350m
slug
liquidai--lfm2.5-embedding-350m
source
huggingface
author
LiquidAI
license
Other
tags
sentence-transformers, safetensors, lfm2, liquid, lfm2.5, edge, sentence-similarity, feature-extraction, custom_code, en, es, de, fr, it, pt, ar, sv, no, ja, ko, arxiv:2511.23404, base_model:liquidai/lfm2.5-350m-base, base_model:finetune:liquidai/lfm2.5-350m-base, license:other, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Lfm2BidirectionalModel
params billions
0.35
context length
4,096
pipeline tag
sentence-similarity
vram gb
1.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4,825
stars
null
forks
null

Data indexed from public sources. Updated daily.