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

mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit

mlx-community Llama 8.0B
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/mlx-community%2FMeta-Llama-3.1-8B-Instruct-abliterated-4bit"
Response includes
  • classification m1
  • files 8
  • hub_downloads_all_time 6,534
  • author_summary 207 models
  • readme_text full
Try next
GET/models?author=mlx-community
All 207 models by mlx-community
 GET/models?family=llama&method=m1
Sibling llama models · same method
 GET/methods/m1
What "m1" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
7K
252 last 30d - cooling
Likes
0
Model age
2.2y ago
created 2024-07-26
Downloads over time
Now6.7K→from8↑83,063%
02.4K4.9K7.3K8 on Jul 24, 20246.7K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 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
mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit↓ 252

Metadata

License
llama3.1
Tags
transformers safetensors llama text-generation abliterated uncensored mlx conversational base_model:meta-llama/Llama-3.1-8B-Instruct base_model:finetune:meta-llama/Llama-3.1-8B-Instruct license:llama3.1 text-generation-inference

Related

Other by mlx-community
Qwen3.8-27B-Uncensored-OptiQ-4bit 16K Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-8bit 7K Qwen3.8-Flash-Next-Uncensored-oQ5e-mtp 5K Josiefied-Qwen3-4B-abliterated-v1-4bit 4K Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-mlx-8bit 4K
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 reissbaker/llama-3.1-8b-abliterated-lora 283 mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-bfloat16 160
Total size
4.21 GB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-08-03 11:32
Source huggingface.co/mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit ↗ Base model meta-llama/Meta-Llama-3.1-8B-Instruct ↗

Files by quantization

Auxiliary files 8 files 4.22 GB
model.safetensors 4.21 GB ce304b09 download
tokenizer.json 8.66 MB 5cc5f00a download
model.safetensors.index.json 51.2 KB 0d59c901 download
tokenizer_config.json 49.7 KB 421cda36 download
.gitattributes 1.48 KB a6344aac download
config.json 1017 B 6d37edeb download
README.md 796 B e2a4122e download
special_tokens_map.json 296 B 02ee80b6 download

README current version from Hugging Face

base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: transformers
license: llama3.1
tags:

  • abliterated
  • uncensored
  • mlx

mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit

The Model mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit was converted to MLX format from mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated using mlx-lm version 0.16.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)

README history 2 versions

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

  1. 2024-08-03Upload folder using huggingface_hub (#2)4d161a4796 B
    Loading...
  2. 2024-07-26Upload folder using huggingface_hub (#1)be7dda2719 B
    Loading...

Discussions 2 threads

  1. 2024-08-03PRUpload folder using huggingface_hubmerged3 💬#2
    Loading...
  2. 2024-07-26PRUpload folder using huggingface_hubmerged3 💬#1
    Loading...

Continue on Hugging Face →

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