WizardLM Uncensored is a 13B parameter model based on Llama 2 uncensored by Eric Hartford. The models were trained against LLaMA-7B with a subset of the dataset, responses that contained alignment / moralizing were removed.

Get started with WizardLM Uncensored

The model used in the example below is the WizardLM Uncensored model, with 13b parameters, which is a general-use model.

API

1. Start Ollama server (Run ollama serve)
2. Run the model

curl -X POST http://localhost:11434/api/generate -d '{
  "model": "wizardlm-uncensored",
  "prompt":"Who made Rose promise that she would never let go?"
 }'

CLI

1. Install Ollama
2. Open the terminal and run ollama run wizardlm-uncensored

Note: The ollama run command performs an ollama pull if the model is not already downloaded. To download the model without running it, use ollama pull wizardlm-uncensored

Memory requirements

• 13b models generally require at least 16GB of RAM

If you run into issues with higher quantization levels, try using the q4 model or shut down any other programs that are using a lot of memory.

Model variants

By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 means 4-bit quantization). The higher the number, the more accurate the model is, but the slower it runs, and the more memory it requires.

Model source

WizardLM Uncensored source on Ollama

13b parameters source: The Bloke

13b parameters original source: Eric Hartford