license, tags
| license | tags | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
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TinyMixtral-4x248M-MoE
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
!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"])