---
license: apache-2.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
- Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
- Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
base_model:
- Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
- Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
- Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
---

# TinyJ.O.S.I.E.-3x1.1B-32k-Base

TinyJ.O.S.I.E.-3x1.1B-32k-Base is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base](https://huggingface.co/Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base)
* [Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base](https://huggingface.co/Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base)
* [Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base](https://huggingface.co/Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base)

## 🧩 Configuration

```yamlbase_model: Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
dtype: float32
gate_mode: hidden
experts:
  - source_model: Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
    positive_prompts:
      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'

  - source_model: Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
    positive_prompts:
      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent only for coding assistants.'
    
  - source_model: Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
    positive_prompts:
      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that autonomously calls function when needed.'
```

## 💻 Usage

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

from transformers import AutoTokenizer
import transformers
import torch

model = "Isaak-Carter/TinyJ.O.S.I.E.-3x1.1B-32k-Base"

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"])
```