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mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-bfloat16

mlx-community Llama 8.0B
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     "https://abliteration.org/api/v1/models/mlx-community%2FMeta-Llama-3.1-8B-Instruct-abliterated-bfloat16"
Response includes
  • classification m1
  • files 11
  • hub_downloads_all_time 1,029
  • author_summary 207 models
  • readme_text full
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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
1K
160 last 30d - stable
Likes
1
Model age
2.2y ago
created 2024-08-03
Downloads over time
Now1.1K→from0↑0%
04088161.2K0 on Jul 31, 20241.1K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 31, 2024 → Oct 11 · 154 snapshots · spans 802 days

Genealogy 0 direct forks

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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-bfloat16↓ 160

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

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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-4bit 252
Total size
15.0 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-08-03 13:42
Source huggingface.co/mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-bfloat16 ↗ Base model meta-llama/Meta-Llama-3.1-8B-Instruct ↗

Files by quantization

Auxiliary files 11 files 15.0 GB
model-00002-of-00004.safetensors 4.98 GB d4c5c089 download
model-00001-of-00004.safetensors 4.93 GB b2cc12d4 download
model-00003-of-00004.safetensors 4.06 GB 2e9e43ae download
model-00004-of-00004.safetensors 1002 MB 63845237 download
tokenizer.json 8.66 MB 5cc5f00a download
tokenizer_config.json 49.7 KB 421cda36 download
model.safetensors.index.json 24.5 KB 5c1cb0e7 download
.gitattributes 1.48 KB a6344aac download
config.json 944 B a3bbba36 download
README.md 812 B 8790ad6b 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-bfloat16

The Model mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-bfloat16 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-bfloat16")
response = generate(model, tokenizer, prompt="hello", verbose=True)

README history 1 version

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 (#1)9da76da812 B
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Discussions 1 thread

  1. 2024-08-03PRUpload folder using huggingface_hubmerged3 💬#1
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