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reissbaker/llama-3.1-8b-abliterated-lora

reissbaker Llama 8B
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Response includes
  • classification m1
  • files 4
  • hub_downloads_all_time 127,197
  • author_summary 2 models
  • readme_text full
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What "m1" means · taxonomy
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
127K
283 last 30d - cooling
Likes
1
Model age
21mo ago
created 2025-01-19
Downloads over time
Now127.3K→from226↑56,215%
046.7K93.3K140K226 on Jan 29, 2025127.3K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 29, 2025 → Oct 11 · 128 snapshots · spans 620 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.

meta-llama/Meta-Llama-3.1-8B-Instruct this lineage
reissbaker/llama-3.1-8b-abliterated-lora↓ 283

Metadata

Tags
peft safetensors base_model:meta-llama/Llama-3.1-8B-Instruct base_model:adapter:meta-llama/Llama-3.1-8B-Instruct region:us

Related

Other by reissbaker
llama-3.1-70b-abliterated-lora 43
Same base model
mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated-GGUF 28K mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated 7K QuantFactory/Llama-3.1-8B-Instruct-abliterated_via_adapter-GGUF 2K mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit 252 mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-bfloat16 160
Total size
640 MB
Files
4
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-01-19 02:16
Source huggingface.co/reissbaker/llama-3.1-8b-abliterated-lora ↗ Base model meta-llama/Meta-Llama-3.1-8B-Instruct ↗

Files by quantization

Auxiliary files 4 files 640 MB
adapter_model.safetensors 640 MB 7a81ff5b download
.gitattributes 1.48 KB a6344aac download
README.md 1.01 KB ca7458ec download
adapter_config.json 809 B 493dcfdf download

README current version from Hugging Face

base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft

Model Card for Model ID

This LoRA adapter was extracted from
mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
and uses
meta-llama/Llama-3.1-8B-Instruct
as a base.

Model Details

The model was extracted by running
mlabonne/harmful_behaviors
through the original abliterated model to generate a dataset of
prompt/completion pairs, and was trained for 15 epochs on an H100 with Unsloth.

Model Description

  • Developed by: @reissbaker
  • Funded by: Synthetic Lab
  • License: Apache 2.0
  • Finetuned from model: Llama 3.1 8B Instruct

How to Get Started with the Model

Run the model with one click on glhf.chat.

Training Hyperparameters

BF16 mixed-precision
2e-4 LR
Linear LR schedule
AdamW 8-bit optimizer

README history 2 versions

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

  1. 2025-01-19Initial commitf8cef121 KB
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  2. 2025-01-19initial commita6e713628 B
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