Meta-Llama-3-8B-Instruct-abliterated-v3
8BLlama
from failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
↓ 371.5K♥ 6923 repos
Meta-Llama-3-8B-Instruct-heretic-mlabonne
Meta-Llama-3-8B-Instruct-heretic-mlabonne is a Heretic-ablated open-weight language model, published on Hugging Face by lenalibon. It is 8B parameters, single consumer GPU class and llama3 licence. It is distributed across 2 repositories in Transformers format, totalling 14.8K downloads.
Specification
- Model name
- Meta-Llama-3-8B-Instruct-heretic-mlabonne
- Source repository
- lenalibon/Meta-Llama-3-8B-Instruct-heretic-mlabonne
- Base model
- Not declared
- Publisher
- lenalibon
- Parameters
- 8B
- VRAM required
- ~5.6 GB at Q4_K_M, 4k context (estimated) — runs on 6 GB cards
- 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
- First indexed
- 10 Mar 2026
- Last updated
- 10 Mar 2026
Ablation technique
How Meta-Llama-3-8B-Instruct-heretic-mlabonne was modified, and what that implies.
Heretic
Automated directional ablation via the Heretic toolchain, which searches for the refusal direction and applies it with a KL-divergence budget so general capability is preserved.
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
“Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "lenalibon/Meta-Llama-3-8B-Instruct-heretic-mlabonne"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve lenalibon/Meta-Llama-3-8B-Instruct-heretic-mlabonne --trust-remote-codeDownloads and variants (1)
The only published repository of Meta-Llama-3-8B-Instruct-heretic-mlabonne.
| Repository | Format | Downloads |
|---|---|---|
| lenalibon/Meta-Llama-3-8B-Instruct-heretic-mlabonnesource | Transformers | 14.8K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Meta-Llama-3-8B-Instruct-heretic-mlabonne 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 its base model, 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.
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 Meta-Llama-3-8B-Instruct-heretic-mlabonne is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with lenalibon, and does not independently verify publisher claims. See responsible use.