---
license: apache-2.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- winglian/Llama-3-8b-64k-PoSE
- PygmalionAI/pygmalion-2-7b
base_model:
- winglian/Llama-3-8b-64k-PoSE
- PygmalionAI/pygmalion-2-7b
---

# Llama-3-8b-pygmalion-2-7b-v1

Tried merging LLAMA 2 and LLAMA 3. This model does not provide and legible output.
Llama-3-8b-pygmalion-2-7b-v1 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [winglian/Llama-3-8b-64k-PoSE](https://huggingface.co/winglian/Llama-3-8b-64k-PoSE)
* [PygmalionAI/pygmalion-2-7b](https://huggingface.co/PygmalionAI/pygmalion-2-7b)


## 🧩 Configuration

```yamlbase_model: winglian/Llama-3-8b-64k-PoSE
dtype: float16
gate_mode: cheap_embed
experts:
  - source_model: winglian/Llama-3-8b-64k-PoSE
    positive_prompts: ["You are an intelligent bot that is smart and sassy"]
  - source_model: PygmalionAI/pygmalion-2-7b
    positive_prompts: ["You are a sexy girl that loves to roleplay"]```

## 💻 Usage

```python
!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "farhananis005/Llama-3-8b-pygmalion-2-7b-v1"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)

messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```