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RichardErkhov/netcat420_-_MFANN-llama3.1-abliterated-v2-8bits

RichardErkhov Llama 7.0B
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Response includes
  • classification m1
  • files 10
  • hub_downloads_all_time 30
  • author_summary 257 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)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
30
6 last 30d - stable
Likes
0
Model age
18mo ago
created 2025-03-28
Downloads over time
Now32→from2↑1,500%
11224352 on Mar 26, 202532 on Oct 1132 on Oct 4Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 26, 2025 → Oct 11 · 120 snapshots · spans 564 days

Metadata

Tags
safetensors llama 8-bit bitsandbytes region:us

Related

Total size
8.46 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-28 08:10

Files by quantization

Auxiliary files 10 files 8.48 GB
model-00001-of-00002.safetensors 4.65 GB f25fae4a download
model-00002-of-00002.safetensors 3.81 GB e03ef025 download
tokenizer.json 16.4 MB 6b9e4e7f download
model.safetensors.index.json 59.8 KB 9792b1a7 download
tokenizer_config.json 49.7 KB 41c49944 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.50 KB 09fc0145 download
config.json 1.37 KB 475a13fb download
special_tokens_map.json 296 B 02ee80b6 download
generation_config.json 155 B 5273e160 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

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MFANN-llama3.1-abliterated-v2 - bnb 8bits

Original model description:

base_model:

  • netcat420/MFANNv0.19
  • mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
    library_name: transformers
    tags:
  • mergekit
  • merge

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: netcat420/MFANNv0.19
        layer_range: [0, 32]
      - model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
        layer_range: [0, 32]
merge_method: slerp
base_model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

README history 1 version

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

  1. 2025-03-28uploaded readmed8777da1.5 KB
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