QwenMoEAriel

QwenMoEAriel is a Mixture of Experts (MoE) made with the following models using LazyMergekit:

• Qwen/Qwen2-7B
• cognitivecomputations/dolphin-2.9.2-qwen2-7b

🧩 Configuration

base_model: Qwen/Qwen2-7B
architecture: qwen
experts:
  - source_model: Qwen/Qwen2-7B
    positive_prompts:
    - "chat"
    - "assistant"
    - "tell me"
    - "explain"
    - "I want"
  - source_model: cognitivecomputations/dolphin-2.9.2-qwen2-7b
    positive_prompts:
    - "code"
    - "python"
    - "javascript"
    - "programming"
    - "algorithm"
shared_experts:
  - source_model: Qwen/Qwen2-7B
    positive_prompts: # required by Qwen MoE for "hidden" gate mode, otherwise not allowed
      - "chat"
    # (optional, but recommended:)
    residual_scale: 0.1 # downweight output from shared expert to prevent overcooking the model

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "femiari/QwenMoEAriel"

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"])