# Eric Hartford's WizardLM Uncensored Falcon 40B GGML
These files are **experimental** GGML format model files for [Eric Hartford's WizardLM Uncensored Falcon 40B](https://huggingface.co/ehartford/WizardLM-Uncensored-Falcon-40b).
These GGML files will **not** work in llama.cpp, and at the time of writing they will not work with any UI or library. They cannot be used from Python code.
They currently only work using the basic command line test tool, compiled from Jan Ploski's fork of the ggml repo, where support for Falcon 40B GGML was first completed.
They are therefore uploaded purely for initial evaluation and experimentation. Support for these GGMLs should improve in the near future.
## Repositories available
* [4-bit GPTQ model for GPU inference](https://huggingface.co/TheBloke/WizardLM-Uncensored-Falcon-40B-GPTQ)
* [3-bit GPTQ model for GPU inference](https://huggingface.co/TheBloke/WizardLM-Uncensored-Falcon-40B-3bit-GPTQ).
* [4 and 5-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/WizardLM-Uncensored-Falcon-40B-GGML)
* [Eric's unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/ehartford/WizardLM-Uncensored-Falcon-40b)
## Compatibility
To build the CLI tool necessary to use these GGML files, please follow the following steps:
```
git clone https://github.com/jploski/ggml falcon-ggml
cd falcon-ggml
git checkout falcon40b
mkdir build && cd build && cmake .. && cmake --build . --config Release
```
Then run a command like the following, adjusting params as required:
```
bin/falcon -m /path/to/WizardLM-Uncensored-Falcon-40b.ggmlv3.q4_0.bin -t 10 -n 200 -p "write a story about llamas\n### Response:"
```
## Provided files
| Name | Quant method | Bits | Size | Max RAM required | Use case |
| ---- | ---- | ---- | ---- | ---- | ----- |
| WizardLM-Uncensored-Falcon-40b.ggmlv3.q4_0.bin | q4_0 | 4 | 23.54 GB | 26.04 GB | 4-bit. |
| WizardLM-Uncensored-Falcon-40b.ggmlv3.q4_1.bin | q4_1 | 4 | 26.15 GB | 28.65 GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
| WizardLM-Uncensored-Falcon-40b.ggmlv3.q5_0.bin | q5_0 | 5 | 28.77 GB | 31.27 GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
| WizardLM-Uncensored-Falcon-40b.ggmlv3.q5_1.bin | q5_1 | 5 | 31.38 GB | 33.88 GB | 5-bit. Even higher accuracy, resource usage and slower inference. |
A q8_0 file will be provided shortly. There is currently an issue preventing it from working. Once this is fixed, it will be uploaded.
## Discord
For further support, and discussions on these models and AI in general, join us at:
[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)
## Thanks, and how to contribute.
Thanks to the [chirper.ai](https://chirper.ai) team!
I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
* Patreon: https://patreon.com/TheBlokeAI
* Ko-Fi: https://ko-fi.com/TheBlokeAI
**Special thanks to**: Luke from CarbonQuill, Aemon Algiz, Dmitriy Samsonov.
**Patreon special mentions**: Oscar Rangel, Eugene Pentland, Talal Aujan, Cory Kujawski, Luke, Asp the Wyvern, Ai Maven, Pyrater, Alps Aficionado, senxiiz, Willem Michiel, Junyu Yang, trip7s trip, Sebastain Graf, Joseph William Delisle, Lone Striker, Jonathan Leane, Johann-Peter Hartmann, David Flickinger, Spiking Neurons AB, Kevin Schuppel, Mano Prime, Dmitriy Samsonov, Sean Connelly, Nathan LeClaire, Alain Rossmann, Fen Risland, Derek Yates, Luke Pendergrass, Nikolai Manek, Khalefa Al-Ahmad, Artur Olbinski, John Detwiler, Ajan Kanaga, Imad Khwaja, Trenton Dambrowitz, Kalila, vamX, webtim, Illia Dulskyi.
Thank you to all my generous patrons and donaters!
# Original model card: Eric Hartford's WizardLM Uncensored Falcon 40B GGML
This is WizardLM trained on top of tiiuae/falcon-40b, 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.
Prompt format is WizardLM.
```
What is a falcon? Can I keep one as a pet?
### Response:
```
Thank you [chirper.ai](https://chirper.ai) for sponsoring some of my compute!
