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

netcat420/Qwen2.5-7b-nerd-uncensored-MFANN-slerp

netcat420 Qwen 7.6B 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/netcat420%2FQwen2.5-7b-nerd-uncensored-MFANN-slerp"
Response includes
  • classification m5
  • files 15
  • hub_downloads_all_time 173
  • author_summary 60 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

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.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • no abliteration marker
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
173
35 last 30d - stable
Likes
0
Descendants
8
in 8 direct forks
Model age
20mo ago
created 2025-01-25
Downloads over time
Now193→from24↑704%
168014521024 on Jan 22, 2025193 on Oct 11193 on Oct 10Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 22, 2025 → Oct 11 · 129 snapshots · spans 627 days

Genealogy 8 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.

Variants by this author 6 formats · 224 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Tags
transformers safetensors qwen2 text-generation mergekit merge conversational base_model:jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9 base_model:merge:jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9 base_model:netcat420/Qwen2.5-MFANN-7b base_model:merge:netcat420/Qwen2.5-MFANN-7b text-generation-inference

Related

Total size
14.2 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-01-25 05:34

Files by quantization

Auxiliary files 15 files 14.2 GB
model-00003-of-00004.safetensors 4.65 GB 72917f88 download
model-00001-of-00004.safetensors 4.63 GB 7ba7922b download
model-00002-of-00004.safetensors 4.59 GB 461fdba4 download
model-00004-of-00004.safetensors 315 MB 94367bd5 download
tokenizer.json 10.9 MB 9c5ae00e download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
model.safetensors.index.json 25.8 KB e8ee5d82 download
tokenizer_config.json 7.87 KB 51c0ead0 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.13 KB b90f75f7 download
config.json 748 B a0256320 download
special_tokens_map.json 613 B ac23c0aa download
added_tokens.json 605 B 482ced46 download
mergekit_config.yml 443 B 247baef5 download

README current version from Hugging Face


base_model:

  • jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9
  • netcat420/Qwen2.5-MFANN-7b
    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: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9
        layer_range: [0, 28]
      - model: netcat420/Qwen2.5-MFANN-7b
        layer_range: [0, 28]
merge_method: slerp
base_model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9
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 # fallback for rest of tensors
dtype: float16

README history 3 versions

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

  1. 2025-01-25Upload folder using huggingface_hubbb4195a1.1 KB
    Loading...
  2. 2025-01-25Upload folder using huggingface_hub9bec9cc1.2 KB
    Loading...
  3. 2025-01-25Upload folder using huggingface_hubc70d4e91.1 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