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QuixiAI/WizardLM-7B-Uncensored

QuixiAI Llama 7B
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Response includes
  • classification m-uncensored
  • files 11
  • hub_downloads_all_time 153,304
  • author_summary 15 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.

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Downloads · lifetime
153K
563 last 30d - cooling
Likes
519
Descendants
3
in 3 direct forks
Model age
3.4y ago
created 2023-05-04

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
Now153.5K→from84.9K↑81%
81.4K107.8K134.1K160.4K84.9K on Jul 16, 2025153.5K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 16, 2025 → Oct 11 · 104 snapshots · spans 452 days

Genealogy 3 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

License
other
Tags
transformers pytorch llama text-generation uncensored dataset:ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered license:other text-generation-inference endpoints_compatible region:us

Related

Total size
12.6 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-01-30 20:53

Files by quantization

Auxiliary files 11 files 12.6 GB
pytorch_model.bin 12.6 GB a03a40bb download
tokenizer.json 1.76 MB f57412e8 download
tokenizer.model 488 KB 9e556afd download
.gitattributes 1.44 KB c7d9f333 download
README.md 999 B df98a8db download
tokenizer_config.json 727 B 5ab645d5 download
config.json 552 B e9d201c8 download
generation_config.json 137 B 2c057487 download
special_tokens_map.json 96.0 B 318f9131 download
added_tokens.json 21.0 B e41416dd download
.gitignore 13.0 B 0348ea97 download

README current version from Hugging Face


license: other
datasets:

  • ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
    tags:
  • uncensored

Join our Discord! https://discord.gg/cognitivecomputations

This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA.

Shout out to the open source AI/ML community, and everyone who helped me out.

Note:

An uncensored model has no guardrails.

You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous object such as a knife, gun, lighter, or car.

Publishing anything this model generates is the same as publishing it yourself.

You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.

README history 8 versions

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

  1. 2024-01-30Update README.md7f64046999 B
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  2. 2023-05-12Update README.md14c23f9937 B
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  3. 2023-05-12Update README.md2688b37918 B
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  4. 2023-05-12Update README.mdc54a3f2914 B
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  5. 2023-05-11Update README.mdf9a91fd449 B
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  6. 2023-05-09Update README.mda108228454 B
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  7. 2023-05-05Update README.md3534761493 B
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  8. 2023-05-04initialb73e530376 B
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Discussions 27 threads

  1. 2026-01-22What does it mean receiving no answers?open1 💬#29
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  2. 2025-07-21Repeat Answersopen1 💬#28
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  3. 2025-03-03Can i "fine tune" it like we can similarly do with modelfile in ollama?open1 💬#27
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  4. 2024-11-18I'm new, Where can I find chat template for Modelfile (ollama)open2 💬#26
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  5. 2024-03-04PRAdding Evaluation Resultsopen1 💬#25
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  6. 2024-02-06PRAdding `safetensors` variant of this modelopen1 💬#24
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  7. 2023-11-21I get one letter responses....open1 💬#23
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  8. 2023-11-17PRAdding Evaluation Resultsopen1 💬#22
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  9. 2023-07-17How can i use human feedback to further train this?open1 💬#21
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  10. 2023-07-02Can anyone help me with detailed instructions on how to use this?open6 💬#20
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  11. 2023-07-02Once the df. columns function is used, an exception will occur.open2 💬#19
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  12. 2023-05-30Training Approach?open2 💬#18
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  13. 2023-05-25Am I overthinking this?open1 💬#17
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  14. 2023-05-24Your a god.open1 💬#16
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  15. 2023-05-21technical question about the modelopen4 💬#15
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  16. 2023-05-20ggml for llama cppclosed3 💬#14
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  17. 2023-05-11PRupdate licensemerged2 💬#12
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  18. 2023-05-10You're awesome!open1 💬#11
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  19. 2023-05-09Possible sign of overtrainingopen2 💬#10
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  20. 2023-05-09Issue with deploy on sagemaker -open4 💬#9
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  21. 2023-05-09----------------closed1 💬#8
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  22. 2023-05-08This works so well as a chat model.open5 💬#7
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  23. 2023-05-08You're doing gods work sonopen1 💬#6
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  24. 2023-05-07Does this use the same instruction format as WizardLM?open2 💬#5
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  25. 2023-05-05🚩 Report : Legal issue(s)closed12 💬#4
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  26. 2023-05-05PRChange use_cache to True which significantly speeds up inferencemerged2 💬#2
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  27. 2023-05-05PRUpload fast tokenizer, which is the recommended and default for transformers nowmerged1 💬#1
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