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Lfm3 1.7b Abliterated Gguf model by adolan
⭐ 50.9
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Model

Lfm3 1.7b Abliterated Gguf

by adolan adolan/lfm3-1.7b-abliterated-gguf
Free2AITools Nexus Index
50.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 16
R: Recency 100
Q: Quality 65
Tech Context
1.7 Params
4.096K Ctx
Vital Performance
286 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 50.9 FNI Score
Tiny 1.7B Params
4k Context
286 Downloads
8G GPU ~3GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID adolan/lfm3-1.7b-abliterated-gguf
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{adolan_lfm3_1_7b_abliterated_gguf,
  author = {adolan},
  title = {Lfm3 1.7b Abliterated Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/adolan/LFM3-1.7B-abliterated-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
adolan. (2026). Lfm3 1.7b Abliterated Gguf [Model]. Free2AITools. https://huggingface.co/adolan/LFM3-1.7B-abliterated-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lfm3-1.7b-abliterated-gguf
πŸ€— HF Download
huggingface-cli download adolan/lfm3-1.7b-abliterated-gguf

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) 16
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lfm3 1.7b Abliterated Gguf: Authority (A:39), Popularity (P:16), 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.

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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
286Downloads
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--adolan--lfm3-1.7b-abliterated-gguf
slug
adolan--lfm3-1.7b-abliterated-gguf
source
huggingface
author
adolan
license
Other
tags
gguf, lfm3, llama.cpp, abliterated, quantized, text-generation, en, ar, zh, fr, de, it, ja, ko, pt, es, vi, th, id, hi, ru, pl, base_model:orcarouter/lfm3-1.7b-abliterated, license:other, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
1.7
context length
4,096
pipeline tag
text-generation
vram gb
2.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
286

Data indexed from public sources. Updated daily.