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RichardErkhov/netcat420_-_MFANN-llama3.1-abliterated-v2-awq

RichardErkhov Llama 7.0B
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Response includes
  • classification m1
  • files 10
  • hub_downloads_all_time 34
  • author_summary 257 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
34
11 last 30d - stable
Likes
0
Model age
18mo ago
created 2025-03-28
Downloads over time
Now36→from2↑1,700%
01326392 on Mar 26, 202536 on Oct 1136 on Oct 4Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 26, 2025 → Oct 11 · 120 snapshots · spans 564 days

Metadata

Tags
safetensors llama 4-bit awq region:us

Related

Other by RichardErkhov
byroneverson_-_gemma-2-27b-it-abliterated-gguf 2K huihui-ai_-_Llama-3.2-1B-Instruct-abliterated-gguf 2K failspy_-_Codestral-22B-v0.1-abliterated-v3-gguf 2K Rupesh2_-_Llama-3.1-8B-Uncensored-gguf 2K huihui-ai_-_Qwen2.5-32B-Instruct-abliterated-gguf 2K
Total size
5.33 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-28 08:21
Source huggingface.co/RichardErkhov/netcat420_-_MFANN-llama3.1-abliterated-v2-awq ↗

Files by quantization

Auxiliary files 10 files 5.35 GB
model-00001-of-00002.safetensors 4.36 GB a92d6c77 download
model-00002-of-00002.safetensors 1002 MB 674610ad download
tokenizer.json 16.4 MB 6b9e4e7f download
model.safetensors.index.json 59.1 KB 2eaf6e33 download
tokenizer_config.json 49.7 KB 41c49944 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.50 KB 3554d085 download
config.json 1.08 KB 35802bbc download
special_tokens_map.json 296 B 02ee80b6 download
generation_config.json 198 B 9161cf69 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

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MFANN-llama3.1-abliterated-v2 - AWQ

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 readmecf48a991.5 KB
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