README.md

---
license: cc-by-nc-4.0
base_model:
- SvalTek/ColdBrew-Aphid
- SvalTek/ColdBrew-Aphid
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- SvalTek/ColdBrew-Aphid
---

# ColdBrew-Icarus

ColdBrew-Icarus is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [SvalTek/ColdBrew-Aphid](https://huggingface.co./SvalTek/ColdBrew-Aphid)
* [SvalTek/ColdBrew-Aphid](https://huggingface.co./SvalTek/ColdBrew-Aphid)

## 🧩 Configuration

```yaml
base_model: SvalTek/ColdBrew-Aphid
gate_mode: random
dtype: bfloat16
experts:
  - source_model: SvalTek/ColdBrew-Aphid
  - source_model: SvalTek/ColdBrew-Aphid
```

## 💻 Usage

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

from transformers import AutoTokenizer
import transformers
import torch

model = "SvalTek/ColdBrew-Icarus"

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"])
```