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ItsVictorTube
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Qwen3-Neurotic-Experts-248x71M

Safetensors
qwen3_moe
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
Mostafa8Mehrabi/qwen3-71M-c4-final
Model card Files
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Qwen3-Neurotic-Experts-248x71M

Qwen3-Neurotic-Experts-248x71M is a Mixture of Experts (MoE) made with the following models using LazyMergekit:

🧩 Configuration 

base_model: Mostafa8Mehrabi/qwen3-71M-c4-final
gate_mode: random
dtype: float16
experts:
  - source_model: Mostafa8Mehrabi/qwen3-71M-c4-final
  - source_model: Mostafa8Mehrabi/qwen3-71M-c4-final
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💻 Usage 

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "ItsVictorTube/Qwen3-Neurotic-Experts-248x71M"

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"])
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