🧠
Lfm2.5 Vl 1.6b Gguf model by unsloth
⭐ 52.3
🧠
Model

Lfm2.5 Vl 1.6b Gguf

by unsloth unsloth/lfm2.5-vl-1.6b-gguf
Free2AITools Nexus Index
52.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49
P: Popularity 33
R: Recency 74
Q: Quality 65
Tech Context
1.6 Params
4.096K Ctx
Vital Performance
2.3K DL / 30D
Source β†’
Low FNI signal 52.3 FNI Score
Tiny 1.6B Params
4k Context
2.3K Downloads
8G GPU ~3GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID unsloth/lfm2.5-vl-1.6b-gguf
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{unsloth_lfm2_5_vl_1_6b_gguf,
  author = {unsloth},
  title = {Lfm2.5 Vl 1.6b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/unsloth/LFM2.5-VL-1.6B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
unsloth. (2026). Lfm2.5 Vl 1.6b Gguf [Model]. Free2AITools. https://huggingface.co/unsloth/LFM2.5-VL-1.6B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lfm2.5-vl-1.6b-gguf
πŸ€— HF Download
huggingface-cli download unsloth/lfm2.5-vl-1.6b-gguf
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) 49
Popularity (P) 33
Recency (R) 74
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lfm2.5 Vl 1.6b Gguf: Authority (A:49), Popularity (P:33), Recency (R:74), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
2.3KDownloads
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--unsloth--lfm2.5-vl-1.6b-gguf
slug
unsloth--lfm2.5-vl-1.6b-gguf
source
huggingface
author
unsloth
license
Other
tags
transformers, gguf, liquid, unsloth, lfm2, lfm2-vl, edge, lfm2.5-vl, lfm2.5, image-text-to-text, en, ja, ko, fr, es, de, ar, zh, arxiv:2511.23404, base_model:liquidai/lfm2.5-vl-1.6b, base_model:quantized:liquidai/lfm2.5-vl-1.6b, license:other, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
1.6
context length
4,096
pipeline tag
image-text-to-text
vram gb
2.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,269
stars
null
forks
null

Data indexed from public sources. Updated daily.