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netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN

netcat420 Qwen 7.6B
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/netcat420%2FQwen2.5-7B-nerd-uncensored-v0.9-MFANN"
Response includes
  • classification m-uncensored
  • files 15
  • hub_downloads_all_time 300
  • author_summary 60 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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
300
45 last 30d - stable
Likes
2
Descendants
9
in 9 direct forks
Model age
21mo ago
created 2025-01-02

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now326→from29↑1,024%
011923835729 on Jan 1, 2025326 on Oct 11326 on Oct 10Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 1, 2025 → Oct 11 · 132 snapshots · spans 648 days

Genealogy 9 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 · 269 downloads combined

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

Metadata

License
apache-2.0
Languages
en
Tags
transformers safetensors qwen2 text-generation conversational en dataset:netcat420/MFANN license:apache-2.0 text-generation-inference endpoints_compatible region:us

Related

Total size
28.4 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-01-02 18:15

Files by quantization

Auxiliary files 15 files 28.4 GB
model-00005-of-00007.safetensors 4.66 GB f96d9899 download
model-00001-of-00007.safetensors 4.63 GB ce65a088 download
model-00004-of-00007.safetensors 4.59 GB 9e66b8c1 download
model-00003-of-00007.safetensors 4.59 GB eff0ce56 download
model-00002-of-00007.safetensors 4.45 GB 0fd06cd2 download
model-00006-of-00007.safetensors 3.41 GB c71e05b9 download
model-00007-of-00007.safetensors 2.03 GB 15411470 download
tokenizer.json 6.71 MB 443909a6 download
vocab.json 2.65 MB 4783fe10 download
model.safetensors.index.json 27.1 KB 6675a7f6 download
tokenizer_config.json 7.87 KB a391961b download
README.md 1.69 KB 7081d51f download
.gitattributes 1.48 KB a6344aac download
config.json 748 B be894411 download
generation_config.json 243 B b829322d download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
datasets:

  • netcat420/MFANN
    language:
  • en

https://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9 fine-tuned on the MFANN dataset for 18,000 steps and 52 epochs.

check out the base model repo and give the original model author credit! https://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9

if you enjoy my work, please feel free to support me on my patreon here: https://patreon.com/MakhiBurroughs

system prompt (GPT4ALL):

{{- '<|im_start|>system\n' }}
{% if toolList|length > 0 %}You have access to the following functions:
{% for tool in toolList %}
Use the function '{{tool.function}}' to: '{{tool.description}}'
{% if tool.parameters|length > 0 %}
parameters:
{% for info in tool.parameters %}
  {{info.name}}:
    type: {{info.type}}
    description: {{info.description}}
    required: {{info.required}}
{% endfor %}
{% endif %}
# Tool Instructions
If you CHOOSE to call this function ONLY reply with the following format:
'{{tool.symbolicFormat}}'
Here is an example. If the user says, '{{tool.examplePrompt}}', then you reply
'{{tool.exampleCall}}'
After the result you might reply with, '{{tool.exampleReply}}'
{% endfor %}
You MUST include both the start and end tags when you use a function.

You are a helpful AI assistant who uses the functions to break down, analyze, perform, and verify complex reasoning tasks. You SHOULD try to verify your answers using the functions where possible.
{% endif %}
{{- '<|im_end|>\n' }}
{% for message in messages %}
{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n' }}
{% endfor %}
{% if add_generation_prompt %}
{{ '<|im_start|>assistant\n' }}
{% endif %}

README history 2 versions

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

  1. 2025-01-02Update README.mdcc114e01.7 KB
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  2. 2025-01-02Upload Qwen2ForCausalLM056dec65.1 KB
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