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

Nexesenex/Llama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion

Nexesenex Llama 71B second-order
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/Nexesenex%2FLlama_3.x_70b_DoppelGutenberg-L3.3_abliterated_fusion"
Response includes
  • classification m5
  • files 38
  • benchmarks 11 entries
  • hub_downloads_all_time 56
  • author_summary 15 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
56
25 last 30d - stable
Likes
0
Descendants
2
in 2 direct forks
Model age
18mo ago
created 2025-04-11
Downloads over time
Now68→from7↑871%
02550757 on Apr 9, 202568 on Oct 1168 on Oct 10Apr '25Jul '25Oct '25JanAprJulOct
Apr 9, 2025 → Oct 11 · 118 snapshots · spans 550 days

Benchmarks

Benchmark Score Source
Entertainment 3.2 UGI
Hazardous 3.5 UGI
Natural Intelligence 33.54 UGI
Political lean -20.3% UGI
Sensitive-Info 32.66 UGI
SocPol 3.1 UGI
UGI 48.44 UGI
Willingness (10) 8 UGI
W10-Adherence 8 UGI
W10-Direct 8 UGI
Writing 31.76 UGI

Genealogy 2 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.

Metadata

Tags
transformers safetensors llama text-generation mergekit merge conversational base_model:huihui-ai/Llama-3.3-70B-Instruct-abliterated base_model:merge:huihui-ai/Llama-3.3-70B-Instruct-abliterated base_model:nbeerbower/Llama3.1-Gutenberg-Doppel-70B base_model:merge:nbeerbower/Llama3.1-Gutenberg-Doppel-70B text-generation-inference

Related

Total size
131 GB
Files
38
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-04-11 21:25

Files by quantization

Auxiliary files 38 files 131 GB
model-00004-of-00030.safetensors 4.66 GB edd85792 download
model-00009-of-00030.safetensors 4.66 GB 99596dc3 download
model-00019-of-00030.safetensors 4.66 GB b6597603 download
model-00024-of-00030.safetensors 4.66 GB 6b9a5c86 download
model-00014-of-00030.safetensors 4.66 GB 075ffd35 download
model-00029-of-00030.safetensors 4.66 GB 2bc87fd1 download
model-00003-of-00030.safetensors 4.64 GB c77cac9a download
model-00008-of-00030.safetensors 4.64 GB ba328c67 download
model-00013-of-00030.safetensors 4.64 GB 9d79a92b download
model-00023-of-00030.safetensors 4.64 GB 887754f3 download
model-00028-of-00030.safetensors 4.64 GB d3f9ffac download
model-00018-of-00030.safetensors 4.64 GB f47857c6 download
model-00001-of-00030.safetensors 4.35 GB 9fb8853f download
model-00007-of-00030.safetensors 4.34 GB 867c67b5 download
model-00012-of-00030.safetensors 4.34 GB 703d2b35 download
model-00017-of-00030.safetensors 4.34 GB 104258c1 download
model-00027-of-00030.safetensors 4.34 GB cf8e7bea download
model-00011-of-00030.safetensors 4.34 GB 68dfc60a download
model-00016-of-00030.safetensors 4.34 GB c3d6d67c download
model-00021-of-00030.safetensors 4.34 GB 19daab09 download
model-00022-of-00030.safetensors 4.34 GB fcf9d894 download
model-00002-of-00030.safetensors 4.34 GB fb338477 download
model-00006-of-00030.safetensors 4.34 GB 6558d590 download
model-00026-of-00030.safetensors 4.34 GB 43e008fc download
model-00005-of-00030.safetensors 4.33 GB dd8aece2 download
model-00015-of-00030.safetensors 4.33 GB 88a60da3 download
model-00020-of-00030.safetensors 4.33 GB da16a1dc download
model-00025-of-00030.safetensors 4.33 GB 7023da5a download
model-00010-of-00030.safetensors 4.33 GB e110b3d0 download
model-00030-of-00030.safetensors 1.86 GB 558b5c03 download
tokenizer.json 16.4 MB c653b00e download
tokenizer_config.json 59.7 KB 34d0b75a download
model.safetensors.index.json 55.4 KB 2ef670b5 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.26 KB 67841d66 download
config.json 840 B ae667e6c download
mergekit_config.yml 481 B c23cb2de download
special_tokens_map.json 444 B 44e8cb89 download

README current version from Hugging Face


base_model:

  • huihui-ai/Llama-3.3-70B-Instruct-abliterated
  • nbeerbower/Llama3.1-Gutenberg-Doppel-70B
    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 Arcee Fusion merge method using nbeerbower/Llama3.1-Gutenberg-Doppel-70B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: arcee_fusion
models:
  - model: nbeerbower/Llama3.1-Gutenberg-Doppel-70B
    parameters:
      weight: 1.0
  - model: huihui-ai/Llama-3.3-70B-Instruct-abliterated
    parameters:
      weight: 1.0
base_model: nbeerbower/Llama3.1-Gutenberg-Doppel-70B
dtype: bfloat16
out_dtype: bfloat16
parameters:
  int8_mask: true
  normalize: false
  rescale: false
  filter_wise: false
  smooth: false
  allow_negative_weights: false
chat_template: auto
tokenizer:
  source: union

README history 1 version

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

  1. 2025-04-11Upload folder using huggingface_hub8958c3f1.3 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