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digitalpipelines/llama2_7b_chat_uncensored

digitalpipelines Llama
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Response includes
  • classification m-uncensored
  • files 12
  • hub_downloads_all_time 473
  • author_summary 6 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
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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.

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Downloads · lifetime
473
19 last 30d - cooling
Likes
3
Model age
3.2y ago
created 2023-08-17

Training datasets

1 of 1 in /datasets

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digitalpipelines/wizard_vicuna_70k_uncensored fine-tune
Downloads over time
Now478→from24↑1,892%
017535052524 on Jul 24, 2024478 on Oct 11478 on Oct 9Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Variants by this author 2 formats · 46 downloads combined

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

Metadata

License
apache-2.0
Tags
transformers pytorch llama text-generation dataset:digitalpipelines/wizard_vicuna_70k_uncensored license:apache-2.0 text-generation-inference endpoints_compatible region:us

Related

Other by digitalpipelines
llama2_7b_chat_uncensored-GPTQ 27 llama2_13b_chat_uncensored-GPTQ 20 llama2_13b_chat_uncensored 19 llama2_7b_chat_uncensored-GGML 0 llama2_13b_chat_uncensored-GGML 0
Total size
25.1 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-08-18 20:34
Source huggingface.co/digitalpipelines/llama2_7b_chat_uncensored ↗

Files by quantization

Auxiliary files 12 files 25.1 GB
pytorch_model-00002-of-00003.bin 9.22 GB f5de2612 download
pytorch_model-00001-of-00003.bin 9.20 GB b6f69ed9 download
pytorch_model-00003-of-00003.bin 6.69 GB c776d7cd download
tokenizer.model 488 KB 9e556afd download
pytorch_model.bin.index.json 26.2 KB dcec1af8 download
.gitattributes 1.48 KB a6344aac download
README.md 1018 B 1a02e5a2 download
tokenizer_config.json 745 B 1e4fd8d4 download
config.json 625 B d5e53e7c download
special_tokens_map.json 435 B 599f3bbf download
generation_config.json 132 B 2b103309 download
added_tokens.json 21.0 B e41416dd download

README current version from Hugging Face

license: apache-2.0
datasets:

  • digitalpipelines/wizard_vicuna_70k_uncensored

Overview

Fine-tuned OpenLLaMA-7B with an uncensored/unfiltered Wizard-Vicuna conversation dataset digitalpipelines/wizard_vicuna_70k_uncensored.
Used QLoRA for fine-tuning using the process outlined in https://georgesung.github.io/ai/qlora-ift/

Prompt style

The model was trained with the following prompt style:

### HUMAN:
Hello

### RESPONSE:
Hi, how are you?

### HUMAN:
I'm fine.

### RESPONSE:
How can I help you?
...

README history 3 versions

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

  1. 2023-08-18Update README.md4035a0c1018 B
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  2. 2023-08-17Update README.mdf78c64d822 B
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  3. 2023-08-17create README5fdd23f660 B
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Discussions 1 thread

  1. 2025-05-11PRAdding `safetensors` variant of this modelopen1 💬#1
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