Llama3.3-8B-Instruct-Thinking-Heretic-Uncensored-Claude-4.5-Opus-High-Reasoning
8BLlamaheretic
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Llama-3-8B-Instruct-abliterated-v2
Llama-3-8B-Instruct-abliterated-v2 is a refusal-ablated variant of QuixiAI/Llama-3-8B-Instruct-abliterated-v2, published on Hugging Face by QuixiAI. It is 8B parameters, single consumer GPU class and llama3 licence. It is distributed across 9 repositories in Transformers, GGUF, AWQ and GGUF (imatrix) formats, totalling 11.8K downloads.
Specification
- Model name
- Llama-3-8B-Instruct-abliterated-v2
- Source repository
- QuixiAI/Llama-3-8B-Instruct-abliterated-v2
- Publisher
- QuixiAI
- Parameters
- 8B
- Hardware class
- 4B – 10B — single consumer GPU
- Licence
- llama3
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers, GGUF, AWQ, GGUF (imatrix)
- First indexed
- 9 May 2024
- Last updated
- 4 Apr 2026
Ablation technique
How Llama-3-8B-Instruct-abliterated-v2 was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“This model card describes the Llama-3-8B-Instruct-abliterated-v2 model, which is an orthogonalized version of the meta-llama/Llama-3-8B-Instruct model, and an improvement upon the previous generation Llama-3-8B-Instruct-abliterated. This variant has had certain weights manipulated to inhibit the model's ability to...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download mradermacher/Llama-3-8B-Instruct-abliterated-v2-i1-GGUF --local-dir ./llama-3-8b-instruct-abliterated-v2
llama-cli -m ./llama-3-8b-instruct-abliterated-v2/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "QuixiAI/Llama-3-8B-Instruct-abliterated-v2"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve QuixiAI/Llama-3-8B-Instruct-abliterated-v2 --trust-remote-codeDownloads and variants (8)
Every published repository of Llama-3-8B-Instruct-abliterated-v2, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| QuixiAI/Llama-3-8B-Instruct-abliterated-v2source | Transformers | 8.4K |
| mradermacher/Llama-3-8B-Instruct-abliterated-v2-i1-GGUF | GGUF (imatrix) | 1.7K |
| mradermacher/Llama-3-8B-Instruct-abliterated-v2-GGUF | GGUF | 1.2K |
| QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf | GGUF | 328 |
| huggingkot/Llama-3-8B-Instruct-abliterated-v2-Q4_K_M-GGUF | GGUF | 115 |
| tensorblock/Llama-3-8B-Instruct-abliterated-v2-GGUF | GGUF | 77 |
| solidrust/Llama-3-8B-Instruct-abliterated-v2-AWQ | AWQ | 17 |
| Rrrah/Llama-3-8B-Instruct-abliterated-v2-gguf | GGUF | 5 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Llama-3-8B-Instruct-abliterated-v2 will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- Capability is inherited from QuixiAI/Llama-3-8B-Instruct-abliterated-v2, not added by ablation — at 8B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- Declared licence is llama3, but the terms that bind you are QuixiAI/Llama-3-8B-Instruct-abliterated-v2’s — a re-release cannot grant more than its parent.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Llama-3-8B-Instruct-abliterated-v2 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with QuixiAI, and does not independently verify publisher claims. See responsible use.