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PocketWeights/Llama-3.1-8B-Instruct-abliterated-GGUF

PocketWeights Llama 8B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/PocketWeights%2FLlama-3.1-8B-Instruct-abliterated-GGUF"
Response includes
  • classification m8
  • files 10
  • hub_downloads_all_time 1,620
  • author_summary 5 models
  • readme_text full
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What "m8" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
M1 Direct removal →
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
How we label → About M8 →
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
2K
423 last 30d - stable
Likes
0
Model age
2mo ago
created 2026-08-03
Downloads over time
Now1.7K→from395↑341%
3288431.4K1.9K395 on Aug 51.7K on Oct 11AugSepOct
Aug 5 → Oct 11 · 50 snapshots · spans 67 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

huihui-ai/Meta-Llama-3.1-8B-Instruct-abliterated this lineage
PocketWeights/Llama-3.1-8B-Instruct-abliterated-GGUF↓ 423

Metadata

License
llama3.1
Quantizations
IQ3 Q4_K Q6_K
Tags
gguf quantized llama-3.1 abliterated uncensored roleplay conversational pocketweights text-generation license:llama3.1 endpoints_compatible region:us

Related

Other by PocketWeights
Qwen3-8B-abliterated-GGUF 1K Gemma-4-12B-agentic-abliterated-GGUF 307 DeepSeek-R1-Llama-8B-Abliterated-GGUF 205 Gliese-Qwen3.5-9B-Abliterated-WebGGUF 152
Same base model
featherless-ai-quants/huihui-ai-Meta-Llama-3.1-8B-Instruct-abliterated-GGUF 908 Kita258/Meta-Llama-3.1-8B-Instruct-abliterated-Q4_K_M-GGUF 633 nytopop/Llama-3.1-8B-Instruct-abliterated.w8a8 9
Total size
14.3 GB
Files
10
Quantizations
4
Registered
2026-08-22 13:56
Last updated on HF
2026-08-27 11:07
Source huggingface.co/PocketWeights/Llama-3.1-8B-Instruct-abliterated-GGUF ↗ Base model huihui-ai/Meta-Llama-3.1-8B-Instruct-abliterated ↗

Files by quantization

Q6_K 1 file 6.14 GB
Llama-3.1-8B-Instruct-abliterated-GGUF-Q6_K.gguf 6.14 GB eb42ad24 download
Q4_K 1 file 4.58 GB
Llama-3.1-8B-Instruct-abliterated-GGUF-Q4_K_M.gguf 4.58 GB 59e1ff61 download
IQ3 1 file 3.52 GB
Llama-3.1-8B-Instruct-abliterated-GGUF-IQ3_M.gguf 3.52 GB 1d8f155a download
Auxiliary files 7 files 7.52 KB
artifact-manifest.json 2.26 KB b5412e69 download
quantization-meta.json 1.82 KB 7be53f65 download
.gitattributes 1.74 KB 057b7c0e download
README.md 1.36 KB 45d6fe11 download
Llama-3.1-8B-Instruct-abliterated-GGUF-Q4_K_M.gguf.sha256 117 B 1a379a9f download
Llama-3.1-8B-Instruct-abliterated-GGUF-IQ3_M.gguf.sha256 116 B 1f05fe57 download
Llama-3.1-8B-Instruct-abliterated-GGUF-Q6_K.gguf.sha256 115 B 00496ef4 download

README current version from Hugging Face

base_model: huihui-ai/Meta-Llama-3.1-8B-Instruct-abliterated
library_name: gguf
license: llama3.1
tags:

  • gguf
  • llama-3.1
  • abliterated
  • uncensored
  • roleplay

⚡ PocketWeights: Llama 3.1 8B Instruct (Abliterated)

Heavy models, made light. We specialize in high-quality GGUF quantizations optimized for edge devices and gaming laptops.

What is this model?
This is an abliterated, completely uncensored version of Meta's Llama 3.1 8B Instruct. It has had its safety filters orthogonally removed, meaning it retains brilliant reasoning but will not lecture or refuse prompts.

📦 Pick Your Hardware

We bypass the confusing wall of files to provide specific sizes optimized for your hardware:

  • IQ3_M (Fits 4GB VRAM): For older laptops (GTX 1650, RTX 3050).
  • Q4_K_M (Fits 6GB VRAM): The standard. Perfect for RTX 3060/4050.
  • Q6_K (Fits 8GB VRAM): Near-lossless FP16 quality for RTX 4060/3070.

🚀 Quick Start Guide

Option 1: LM Studio (Easiest)

  1. Download & open LM Studio.
  2. In the search bar, type: PocketWeights/Llama-3.1-8B-Instruct-abliterated-GGUF.
  3. Select your hardware size, click Download, and hit Play!

Option 2: Ollama

If you have Ollama installed, simply run this command in your terminal:

ollama run hf.co/PocketWeights/Llama-3.1-8B-Instruct-abliterated-GGUF:Q4_K_M

README history 3 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-08-27Update README.md4a58d554.7 KB
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  2. 2026-08-03Update README.md91bbbf81.4 KB
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  3. 2026-08-03Add GGUF artifacts (IQ3_M, Q4_K_M, Q6_K) @ 2026-08-03T14:39:55.357365+00:006ef0281714 B
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