🧠

Model

Mistral 7b Instruct Rr Abliterated Gguf

Name: Mistral 7b Instruct Rr Abliterated Gguf
Author: mradermacher

by mradermacher mradermacher/mistral-7b-instruct-rr-abliterated-gguf

Free2AITools Nexus Index

34.1

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 0

R: Recency 76

Q: Quality 30

Tech Context

7 Params

4.096K Ctx

Vital Performance —

Source →

Technical Constraints

Experimental / High Latency

Low FNI signal 34.1 FNI Score

7B Params

4k Context

0 Downloads

8G GPU ~7GB Est. VRAM

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	mradermacher/mistral-7b-instruct-rr-abliterated-gguf
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~6.5GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{mradermacher_mistral_7b_instruct_rr_abliterated_gguf,
  author = {mradermacher},
  title = {Mistral 7b Instruct Rr Abliterated Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/Mistral-7B-Instruct-RR-Abliterated-GGUF}},
  note = {Accessed via Free2AITools.}
}

APA Style

mradermacher. (2026). Mistral 7b Instruct Rr Abliterated Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/Mistral-7B-Instruct-RR-Abliterated-GGUF

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run mistral-7b-instruct-rr-abliterated-gguf

🤗 HF Download

huggingface-cli download mradermacher/mistral-7b-instruct-rr-abliterated-gguf

📦 Install Lib

pip install -U transformers

⚖️ 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) 76

Quality (Q) 30

💬 Index Insight

FNI V2.0 for Mistral 7b Instruct Rr Abliterated Gguf: Authority (A:0), Popularity (P:0), Recency (R:76), 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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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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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--mradermacher--mistral-7b-instruct-rr-abliterated-gguf
slug: mradermacher--mistral-7b-instruct-rr-abliterated-gguf
source: huggingface
author: mradermacher
license: Apache-2.0
tags: transformers, gguf, abliterated, abliterix, circuit-breakers, representation-rerouting, safety-removed, mistral, en, zh, license:apache-2.0, endpoints_compatible, region:us, conversational

⚙️ Technical Specs

params billions: 7
context length: 4,096
vram gb: 6.5
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 0
stars: 0
forks: 0

Data indexed from public sources. Updated daily.