🧠
Lfm2.5 350m Mlx 8bit model by LiquidAI
⭐ 35.4
🧠
Model

Lfm2.5 350m Mlx 8bit

by LiquidAI liquidai/lfm2.5-350m-mlx-8bit
Free2AITools Nexus Index
35.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 5
R: Recency 74
Q: Quality 65
Tech Context
0.1B Params
4.096K Ctx
Vital Performance
50 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 35.4 FNI Score
Tiny 0.1B Params
4k Context
50 Downloads
8G GPU ~2GB Est. VRAM
Dense LFM2FORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID liquidai/lfm2.5-350m-mlx-8bit
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.4GB 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_8bit,
  author = {LiquidAI},
  title = {Lfm2.5 350m Mlx 8bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/LiquidAI/LFM2.5-350M-MLX-8bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
LiquidAI. (2026). Lfm2.5 350m Mlx 8bit [Model]. Free2AITools. https://huggingface.co/LiquidAI/LFM2.5-350M-MLX-8bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lfm2.5-350m-mlx-8bit
πŸ€— HF Download
huggingface-cli download liquidai/lfm2.5-350m-mlx-8bit

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 5
Recency (R) 74
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lfm2.5 350m Mlx 8bit: Authority (A:39), Popularity (P:5), 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.

Social Proof

HuggingFace Hub
50Downloads
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-8bit
slug
liquidai--lfm2.5-350m-mlx-8bit
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, 8-bit, region:us, conversational

βš™οΈ Technical Specs

architecture
Lfm2ForCausalLM
params billions
0.1
context length
4,096
pipeline tag
text-generation
vram gb
1.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
50
stars
0
forks
0

Data indexed from public sources. Updated daily.