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aipib/Tinyllama-moe3
Tinyllama-moe3 is a text generation model from aipib. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Dopey-karasu-MoE3 is a Mixture of Experts (MoE) made with the following models using LazyMergekit: vihangd/DopeyTinyLlama-1.1B-v1 Tensoic/TinyLlama-1.1B-3T-openhermes
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From the Hugging Face model README
Dopey-karasu-MoE3 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
base_model: vihangd/DopeyTinyLlama-1.1B-v1
experts:
- source_model: vihangd/DopeyTinyLlama-1.1B-v1
positive_prompts:
- "chat"
- "assistant"
- "tell me"
- "explain"
- source_model: Tensoic/TinyLlama-1.1B-3T-openhermes
positive_prompts:
- "reason"
- "provide"
- "instruct"
- "summarize"
- "count"
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "aipib/Dopey-karasu-MoE3"
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"])