.. 

h an uncensored/unfiltered Wizard-Vicuna conversation dataset [digitalpipelines/wizard_vicuna_70k_uncensored](https://huggingface.co/datasets/digitalpipelines/wizard_vicuna_70k_uncensored). 

A QLoRA was created and used for fine-tuning and then merged back into the model. Llama2 has inherited bias even though it's been finetuned on an uncensored dataset.  

 

 

## Available versions of this model 

**TEST FINISHED FOR NOW. I MOVED TO 30B training.** 

 

# Convert tools 

https://github.com/practicaldreamer/vicuna_to_alpaca 

 

# Convert tools 

https://github.com/practicaldreamer/vicuna_to_alpaca 

 

# Training tool 

https://github.com/oobabooga/text-generation-webui 

## Exllama v2 Quantizations of Lexi-Llama-3-8B-Uncensored 

 

If generation refuses to stop, you can edit tokenizer_config.json. 

 

Replace line 2055: 

uncensored and migrated/converted into the new ggml format required by llama.cpp 

--- 

### [Uncensored, Pliant, Logic-Based, & Imaginative Instruct-Based Spherically Interpolated Tri-Merge] 

<hr style="margin-top: 10px; margin-bottom: 10px;"> 

 

#### Legal Notice: 

<span style="font-size: 12px; line-height: 0; margin-top: 0; margin-bottom: 0;">This resulting AI model is capable of outputting what can be perceived to be harmful information to those under the age of 18, those who have trouble discerning fiction from reality, and those who use AI to nurse a habitual problem of replacing potential interaction with people with automated facsimiles. We expressly supersede the Apache 2.0 license to state that we do not give permission to utilize this AI for any state, military, disinformation, or similar obviously harmful related actions. To narrow down what is allowed: personal research use, personal entertainment use, so long as it follows the Apache2.0 license. You know what is and isn't morally grounded - by downloading and using this model I extend that trust to you, and take no liability for your actions as an adult.</span>  

### [Uncensored, Pliant, Logic-Based, & Imaginative Instruct-Based Spherically Interpolated Tri-Merge] 

<hr style="margin-top: 10px; margin-bottom: 10px;"> 

 

#### Legal Notice: 

<span style="font-size: 12px; line-height: 0; margin-top: 0; margin-bottom: 0;">This resulting AI model is capable of outputting what can be perceived to be harmful information to those under the age of 18, those who have trouble discerning fiction from reality, and those who use AI to nurse a habitual problem of replacing potential interaction with people with automated facsimiles. We expressly supersede the Apache 2.0 license to state that we do not give permission to utilize this AI for any state, military, disinformation, or similar obviously harmful related actions. To narrow down what is allowed: personal research use, personal entertainment use, so long as it follows the Apache2.0 license. You know what is and isn't morally grounded - by downloading and using this model I extend that trust to you, and take no liability for your actions as an adult.</span>  

most uncensored Yi-34B tune I published so far*</b> 

 

Yi-34B 200K base model fine-tuned on RAWrr v2 dataset via DPO, then fine-tuned on AEZAKMI v3-3 dataset via SFT, then DPO tuned on unalignment/toxic-dpo-v0.1. Total GPU compute time of 40-50 hours I think. It's like airoboros/capybara but with less gptslop, no refusals and less typical language used by RLHFed OpenAI models. Say goodbye to "It's important to remember"! 

Prompt format is standard chatml. Don't expect it to be good at instruct, math, riddles or be crazy smart. My end goal with AEZAKMI is to create a cozy free chatbot. Base model used for fine-tuning was 200k context Yi-34B-Llama model shared by larryvrh. 

 

## Llamacpp imatrix Quantizations of Lexi-Llama-3-8B-Uncensored 

 

Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2714">b2714</a> for quantization. 

 

Original model: https://huggingface.co/Orenguteng/Lexi-Llama-3-8B-Uncensored 

# NikolayKozloff/Lexi-Llama-3-8B-Uncensored-Q6_K-GGUF 

This model was converted to GGUF format from [`Orenguteng/Lexi-Llama-3-8B-Uncensored`](https://huggingface.co/Orenguteng/Lexi-Llama-3-8B-Uncensored) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. 

Refer to the [original model card](https://huggingface.co/Orenguteng/Lexi-Llama-3-8B-Uncensored) for more details on the model. 

## Use with llama.cpp 

 

h an uncensored/unfiltered Wizard-Vicuna conversation dataset [ehartford/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/ehartford/wizard_vicuna_70k_unfiltered). 

[QLoRA](https://arxiv.org/abs/2305.14314) was used for fine-tuning. The model was trained for three epochs on a single NVIDIA A100 80GB GPU instance, taking ~1 week to train. 

 

Please note that LLama 2 Base model has its inherit biases.  

Uncensored refers to the [ehartford/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/ehartford/wizard_vicuna_70k_unfiltered) dataset. 

i is uncensored, which makes the model compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones.  

 

You are responsible for any content you create using this model. Please use it responsibly. 

 

Lexi is licensed according to Meta's Llama license. I grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3 license. 

This is an GGUF version of [jarradh/llama2_70b_chat_uncensored](https://huggingface.co/jarradh/llama2_70b_chat_uncensored) 

 

(Arguable a better name for this model would be something like Llama-2-70B_Wizard-Vicuna-Uncensored-GGUF, but to avoid confusion I'm sticking with jarradh's naming scheme.) 

 

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