🧠
Tinyllama Abliterated Gguf model by mradermacher
⭐ 33.5
🧠
Model

Tinyllama Abliterated Gguf

by mradermacher mradermacher/tinyllama-abliterated-gguf
Free2AITools Nexus Index
33.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 75
Q: Quality 30
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 33.5 FNI Score
Tiny - Params
- Context
0 Downloads
Model Information Summary
Entity Passport
Registry ID mradermacher/tinyllama-abliterated-gguf
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mradermacher_tinyllama_abliterated_gguf,
  author = {mradermacher},
  title = {Tinyllama Abliterated Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/tinyllama-abliterated-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Tinyllama Abliterated Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/tinyllama-abliterated-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download mradermacher/tinyllama-abliterated-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) 0
Popularity (P) 0
Recency (R) 75
Quality (Q) 30

πŸ’¬ Index Insight

FNI V2.0 for Tinyllama Abliterated Gguf: Authority (A:0), Popularity (P:0), Recency (R:75), Quality (Q:30). 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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⚠️ 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
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--mradermacher--tinyllama-abliterated-gguf
slug
mradermacher--tinyllama-abliterated-gguf
source
huggingface
author
mradermacher
tags
transformers, gguf, en, base_model:muyo123/tinyllama-abliterated, endpoints_compatible, region:us, conversational

πŸ“Š Engagement & Metrics

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