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Lfm2.5 350m Mlx 4bit model by LiquidAI
⭐ 35.1
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Model

Lfm2.5 350m Mlx 4bit

by LiquidAI liquidai/lfm2.5-350m-mlx-4bit
Free2AITools Nexus Index
35.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 3
R: Recency 68
Q: Quality 65
Tech Context
0.06B Params
4.096K Ctx
Vital Performance
24 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 35.1 FNI Score
Tiny 0.06B Params
4k Context
24 Downloads
8G GPU ~2GB Est. VRAM
Dense LFM2FORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID liquidai/lfm2.5-350m-mlx-4bit
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.3GB 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_350m_mlx_4bit,
  author = {LiquidAI},
  title = {Lfm2.5 350m Mlx 4bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/LiquidAI/LFM2.5-350M-MLX-4bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
LiquidAI. (2026). Lfm2.5 350m Mlx 4bit [Model]. Free2AITools. https://huggingface.co/LiquidAI/LFM2.5-350M-MLX-4bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lfm2.5-350m-mlx-4bit
πŸ€— HF Download
huggingface-cli download liquidai/lfm2.5-350m-mlx-4bit

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 33
Popularity (P) 3
Recency (R) 68
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lfm2.5 350m Mlx 4bit: Authority (A:33), Popularity (P:3), Recency (R:68), 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.

Social Proof

HuggingFace Hub
24Downloads
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--lfm2.5-350m-mlx-4bit
slug
liquidai--lfm2.5-350m-mlx-4bit
source
huggingface
author
LiquidAI
license
Other
tags
mlx, safetensors, lfm2, liquid, lfm2.5, edge, text-generation, en, ar, zh, fr, de, ja, ko, es, base_model:liquidai/lfm2.5-350m, base_model:quantized:liquidai/lfm2.5-350m, license:other, 4-bit, region:us, conversational

βš™οΈ Technical Specs

architecture
Lfm2ForCausalLM
params billions
0.06
context length
4,096
pipeline tag
text-generation
vram gb
1.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
24
stars
0
forks
0

Data indexed from public sources. Updated daily.