Get the app
← back to catalog · registered 2026-08-22 13:56

mlabonne/Llama-3-70B-Instruct-abliterated-LORA

mlabonne Llama 70B second-order
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model. 

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mlabonne%2FLlama-3-70B-Instruct-abliterated-LORA"
Response includes
  • classification m5
  • files 4
  • author_summary 40 models
  • readme_text full
Try next
GET/models?author=mlabonne
All 40 models by mlabonne
 GET/models?family=llama&method=m5
Sibling llama models · same method
 GET/methods/m5
What "m5" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

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.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • abliterated marker present
How we label → About M5 →
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 · 30-day
0
Likes
7
Model age
2.2y ago
created 2024-08-04
Downloads over time
Now0→from0↑0%
00110 on Aug 14, 20240 on Oct 11Aug '24Dec '24Apr '25Aug '25Dec '25AprAug
Aug 14, 2024 → Oct 11 · 152 snapshots · spans 788 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.

failspy/llama-3-70B-Instruct-abliterated↓ 8,651 this lineage
mlabonne/Llama-3-70B-Instruct-abliterated-LORA

Metadata

Tags
transformers safetensors mergekit peft base_model:failspy/llama-3-70B-Instruct-abliterated base_model:finetune:failspy/llama-3-70B-Instruct-abliterated endpoints_compatible region:us

Related

Other by mlabonne
Meta-Llama-3.1-8B-Instruct-abliterated-GGUF 28K NeuralDaredevil-8B-abliterated 15K Daredevil-8B-abliterated 9K gemma-3-27b-it-abliterated-GGUF 8K gemma-3-27b-it-abliterated 7K
Same base model
mradermacher/llama-3-70B-Instruct-abliterated-i1-GGUF 3K mradermacher/llama-3-70B-Instruct-abliterated-GGUF 542 featherless-ai-quants/failspy-llama-3-70B-Instruct-abliterated-GGUF 370
Total size
1.56 GB
Files
4
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-08-04 20:11
Source huggingface.co/mlabonne/Llama-3-70B-Instruct-abliterated-LORA ↗ Base model failspy/llama-3-70B-Instruct-abliterated →

Files by quantization

Auxiliary files 4 files 1.56 GB
adapter_model.safetensors 1.56 GB 936ed782 download
.gitattributes 1.48 KB a6344aac download
README.md 708 B 5fb2a00c download
adapter_config.json 701 B c81c5b8e download

README current version from Hugging Face

base_model:

  • failspy/llama-3-70B-Instruct-abliterated
    library_name: transformers
    tags:
  • mergekit
  • peft

Llama-3-70B-Instruct-abliterated-LORA

This is a LoRA extracted from a language model. It was extracted using mergekit.

LoRA Details

This LoRA adapter was extracted from failspy/llama-3-70B-Instruct-abliterated and uses meta-llama/Meta-Llama-3-70B-Instruct as a base.

Parameters

The following command was used to extract this LoRA adapter:

mergekit-extract-lora meta-llama/Meta-Llama-3-70B-Instruct failspy/llama-3-70B-Instruct-abliterated OUTPUT_PATH --rank=64

README history 2 versions

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

  1. 2024-08-04Upload 3 files1e4f5c8708 B
    Loading...
  2. 2024-08-04initial commit31d6a4026 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Get the app Browse the catalog
Open in Abliteration