README.md

---
  license: cc-by-nc-4.0
---

THIS MODEL IS MADE FOR LEWD

SEXUAL, CRUDE AND KINKY CONTENT IN OUTPUT CAN AND WILL HAPPEN. YOU'RE WARNED

MoE  of the following models by mergekit:

* [Undi95/Xwin-MLewd-13B-V0.2](https://huggingface.co./Undi95/Xwin-MLewd-13B-V0.2)
* [Undi95/Utopia-13B](https://huggingface.co./Undi95/Utopia-13B)
* [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co./KoboldAI/LLaMA2-13B-Psyfighter2)

MoE setting:
base_model: 

Undi95/Xwin-MLewd-13B-V0.2

experts:
  - Undi95/Utopia-13B 
  - KoboldAI/LLaMA2-13B-Psyfighter2
  





gpu code example

```
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
import math

## v2 models
model_path = "Mixtral_Erotic_13Bx2_MOE_22B"

tokenizer = AutoTokenizer.from_pretrained(model_path, use_default_system_prompt=False)
model = AutoModelForCausalLM.from_pretrained(
    model_path, torch_dtype=torch.float32, device_map='auto',local_files_only=False, load_in_4bit=True
)
print(model)
prompt = input("please input prompt:")
while len(prompt) > 0:
  input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to("cuda")

  generation_output = model.generate(
    input_ids=input_ids, max_new_tokens=500,repetition_penalty=1.2
  )
  print(tokenizer.decode(generation_output[0]))
  prompt = input("please input prompt:")
```

CPU example

```
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
import math

## v2 models
model_path = "Mixtral_Erotic_13Bx2_MOE_22B"

tokenizer = AutoTokenizer.from_pretrained(model_path, use_default_system_prompt=False)
model = AutoModelForCausalLM.from_pretrained(
    model_path, torch_dtype=torch.float32, device_map='cpu',local_files_only=False
)
print(model)
prompt = input("please input prompt:")
while len(prompt) > 0:
  input_ids = tokenizer(prompt, return_tensors="pt").input_ids

  generation_output = model.generate(
    input_ids=input_ids, max_new_tokens=500,repetition_penalty=1.2
  )
  print(tokenizer.decode(generation_output[0]))
  prompt = input("please input prompt:")

```