license: other
datasets:
- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
inference: false
WizardLM 30B Uncensored
These files are GPTQ 4bit model files for Eric Hartford's WizardLM 30B 'uncensored'.
It is the result of quantising to 4bit using GPTQ-for-LLaMa.
Other repositories available
- 4bit GPTQ model for GPU inference
- 4-bit, 5-bit and 8-bit GGML models for CPU (+CUDA) inference
- Eric's unquantised model in fp16 HF format
How to easily download and use this model in text-generation-webui
Open the text-generation-webui UI as normal.
- Click the Model tab.
- Under Download custom model or LoRA, enter
TheBloke/WizardLM-30B-Uncensored-GPTQ
. - Click Download.
- Wait until it says it's finished downloading.
- Click the Refresh icon next to Model in the top left.
- In the Model drop-down: choose the model you just downloaded,
WizardLM-30B-Uncensored-GPTQ
. - If you see an error in the bottom right, ignore it - it's temporary.
- Fill out the
GPTQ parameters
on the right:Bits = 4
,Groupsize = None
,model_type = Llama
- Click Save settings for this model in the top right.
- Click Reload the Model in the top right.
- Once it says it's loaded, click the Text Generation tab and enter a prompt!
Provided files
Compatible file - WizardLM-30B-uncensored-GPTQ-4bit.act-order.safetensors
In the main
branch - the default one - you will find WizardLM-30B-uncensored-GPTQ-4bit.act-order.safetensors
This will work with all versions of GPTQ-for-LLaMa. It has maximum compatibility
It was created without the --act-order
parameter. It may have slightly lower inference quality compared to the other file, but is guaranteed to work on all versions of GPTQ-for-LLaMa and text-generation-webui.
WizardLM-30B-uncensored-GPTQ-4bit.act-order.safetensors
- Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
- Works with AutoGPTQ. Use
strict=False
to load. - Works with text-generation-webui one-click-installers
- Parameters: Groupsize = None. act-order.
- Command used to create the GPTQ:
python llama.py /workspace/models/ehartford_WizardLM-30B-Uncensored wikitext2 --wbits 4 --true-sequential --act-order --save_safetensors /workspace/eric-30B/gptq/WizardLM-30B-Uncensored-GPTQ-4bit.act-order.safetensors
WizardLM-30B-Uncensored original model card
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.