---
license: creativeml-openrail-m 
language:
- en
pipeline_tag: text-generation
---

For llama-anon it is llama2 license


## Model Details
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** nRuaif
- **Model type:** large language model
- **License:** 
- **Finetuned from model [optional]:** Llama-13B
### Model Sources [optional]


## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
The model uses Fastchat/ShareGPT format.


### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

This model is finetuned for normal and erotic roleplay while can still an assistant. (Might not be a helpfull one through)



### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
Do anything you want. I don't care


## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

Model might have bias to NSFW due to the large % of NSFW data in the training set.







## Training Details

### Training Data

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->


3000 convos with 4090 cut off len. 

### Training Procedure 

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->




#### Training Hyperparameters

- **Training regime:** BF16, QLoRA, constant LR 5e-5 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->







### Compute Infrastructure

The model is trained on 1 A100 for 2 hours on runpod.