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

RichardErkhov/netcat420_-_MFANN-llama3.1-abliterated-SLERP-v3-4bits

RichardErkhov Llama 7.0B
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/RichardErkhov%2Fnetcat420_-_MFANN-llama3.1-abliterated-SLERP-v3-4bits"
Response includes
  • classification m5
  • files 10
  • hub_downloads_all_time 24
  • author_summary 257 models
  • readme_text full
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
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
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 · lifetime
24
8 last 30d - stable
Likes
0
Model age
18mo ago
created 2025-04-04
Downloads over time
Now29→from2↑1,350%
11121322 on Apr 2, 202529 on Oct 1129 on Oct 4Apr '25Jul '25Oct '25JanAprJulOct
Apr 2, 2025 → Oct 11 · 119 snapshots · spans 557 days

Metadata

Tags
safetensors llama 4-bit bitsandbytes region:us

Related

Total size
5.61 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-04-04 03:50

Files by quantization

Auxiliary files 10 files 5.63 GB
model-00001-of-00002.safetensors 4.64 GB 7bfc2217 download
model-00002-of-00002.safetensors 1002 MB 8005050c download
tokenizer.json 16.4 MB 6b9e4e7f download
model.safetensors.index.json 86.9 KB b6dab363 download
tokenizer_config.json 49.7 KB 41c49944 download
README.md 1.54 KB 1f4ab769 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.38 KB d56a0d07 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

Discord

Request more models

MFANN-llama3.1-abliterated-SLERP-v3 - bnb 4bits

Original model description:

base_model:

  • mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
  • netcat420/MFANNv0.22.1
    library_name: transformers
    tags:
  • mergekit
  • merge
    license: llama3.1

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: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
        layer_range: [0, 32]
      - model: netcat420/MFANNv0.22.1
        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. 2025-04-04uploaded readme28d431d1.5 KB
    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.

Open in Abliteration