Tinymixtral 4x248M MoE

🚀 TinyMixtral-4x248M-MoE

TinyMixtral-4x248M-MoE is a Mixture of Experts (MoE) model. It combines multiple models to offer enhanced performance and capabilities, providing more comprehensive and accurate results.

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🚀 Quick Start

TinyMixtral-4x248M-MoE is a Mixure of Experts (MoE) made with the following models using LazyMergekit:

• Felladrin/TinyMistral-248M-SFT-v4
• Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct
• Locutusque/TinyMistral-248M-v2-Instruct
• Locutusque/TinyMistral-248M-v2.5

💻 Usage Examples

Basic Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Isotonic/TinyMixtral-4x248M-MoE"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer
)

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"])

📄 License

This project is licensed under the Apache-2.0 license.