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Fara 7b Gguf model by Gguf Org
⭐ 52.6
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Model

Fara 7b Gguf

by Gguf Org gguf-org/fara-7b-gguf
Free2AITools Nexus Index
52.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 41
P: Popularity 23
R: Recency 95
Q: Quality 65
Tech Context
7 Params
4.096K Ctx
Vital Performance
744 DL / 30D
Source β†’
Low FNI signal 52.6 FNI Score
7B Params
4k Context
744 Downloads
8G GPU ~7GB Est. VRAM
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID gguf-org/fara-7b-gguf
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{gguf_org_fara_7b_gguf,
  author = {Gguf Org},
  title = {Fara 7b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/gguf-org/fara-7b-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
Gguf Org. (2026). Fara 7b Gguf [Model]. Free2AITools. https://huggingface.co/gguf-org/fara-7b-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run fara-7b-gguf
πŸ€— HF Download
huggingface-cli download gguf-org/fara-7b-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 41
Popularity (P) 23
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Fara 7b Gguf: Authority (A:41), Popularity (P:23), Recency (R:95), 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
744Downloads
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--gguf-org--fara-7b-gguf
slug
gguf-org--fara-7b-gguf
source
huggingface
author
Gguf Org
license
MIT
tags
gguf, base_model:microsoft/fara-7b, base_model:quantized:microsoft/fara-7b, license:mit, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
7
context length
4,096
pipeline tag
vram gb
6.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
744
stars
null
forks
null

Data indexed from public sources. Updated daily.