🧠
Llama 3 8b Instruct Rr Abliterated model by wangzhang
⭐ 38.5
🧠
Model

Llama 3 8b Instruct Rr Abliterated

by wangzhang wangzhang/llama-3-8b-instruct-rr-abliterated
Free2AITools Nexus Index
38.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 8
R: Recency 76
Q: Quality 65
Tech Context
8.03 Params
8.192K Ctx
Vital Performance
99 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 38.5 FNI Score
8.03B Params
8k Context
99 Downloads
8G GPU ~8GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Restricted LLAMA License
Model Information Summary
Entity Passport
Registry ID wangzhang/llama-3-8b-instruct-rr-abliterated
License LLaMA-3
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{wangzhang_llama_3_8b_instruct_rr_abliterated,
  author = {wangzhang},
  title = {Llama 3 8b Instruct Rr Abliterated Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/wangzhang/Llama-3-8B-Instruct-RR-Abliterated}},
  note = {Accessed via Free2AITools.}
}
APA Style
wangzhang. (2026). Llama 3 8b Instruct Rr Abliterated [Model]. Free2AITools. https://huggingface.co/wangzhang/Llama-3-8B-Instruct-RR-Abliterated

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run llama-3-8b-instruct-rr-abliterated
πŸ€— HF Download
huggingface-cli download wangzhang/llama-3-8b-instruct-rr-abliterated
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) 29
Popularity (P) 8
Recency (R) 76
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Llama 3 8b Instruct Rr Abliterated: Authority (A:29), Popularity (P:8), Recency (R:76), 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
99Downloads
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--wangzhang--llama-3-8b-instruct-rr-abliterated
slug
wangzhang--llama-3-8b-instruct-rr-abliterated
source
huggingface
author
wangzhang
license
LLaMA-3
tags
transformers, safetensors, llama, text-generation, abliterated, abliterix, circuit-breakers, representation-rerouting, safety-removed, llama3, conversational, en, zh, arxiv:2406.04313, base_model:grayswanai/llama-3-8b-instruct-rr, license:llama3, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
8.03
context length
8,192
pipeline tag
text-generation
vram gb
7.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
99
stars
0
forks
0

Data indexed from public sources. Updated daily.