Qwen2-4x1.5B-v2.5.1-B

Qwen2-4x1.5B-v2.5.1-B is a Mixture of Experts (MoE) made with the following models using LazyMergekit:

• cognitivecomputations/dolphin-2.9.3-qwen2-1.5b
• Replete-AI/Qwen2-1.5b-Instruct-Replete-Adapted
• M4-ai/Hercules-5.0-Qwen2-1.5B
• d-llm/Qwen2-1.5B-Instruct-orpo

🧩 Configuration

gate_mode: hidden
architecture: qwen
dtype: bfloat16
experts_per_token: 2
base_model: M4-ai/Hercules-5.0-Qwen2-1.5B
experts:
  - source_model: cognitivecomputations/dolphin-2.9.3-qwen2-1.5b
    positive_prompts:
      - "You are an academic tutor, provide detailed explanations of complex concepts in subjects like mathematics, physics, and biology."
      - "You are an educational consultant, offer guidance on study strategies and learning resources for various academic disciplines."
    negative_prompts:
      - "code"
      - "algorithm"
      - "programming"
  - source_model: Replete-AI/Qwen2-1.5b-Instruct-Replete-Adapted
    positive_prompts:
      - "You are a software engineer, write efficient code in languages like Python, Java, and C++ to solve computational problems."
      - "You are a systems architect, design scalable and robust software systems, focusing on performance optimization and security."
    negative_prompts:
      - "explain"
      - "describe"
      - "define"
  - source_model: M4-ai/Hercules-5.0-Qwen2-1.5B
    positive_prompts:
      - "You are a content writer, create engaging articles, blog posts, and essays on topics ranging from technology to culture."
      - "You are a language stylist, refine and polish written content to improve readability, coherence, and style."
      - "You are a knowledge synthesizer, provide concise summaries of historical events, scientific discoveries, and literary works."
    negative_prompts:
      - "code"
      - "algorithm"
      - "programming"
  - source_model: d-llm/Qwen2-1.5B-Instruct-orpo
    positive_prompts:
      - "You are a summarization expert, condense lengthy documents, articles, and reports into brief, informative summaries."
      - "You are a multilingual translator, accurately translate text between English and other languages, maintaining the original meaning and tone."
    negative_prompts:
      - "explain"
      - "describe"
      - "define"
shared_experts:
  - source_model: M4-ai/Hercules-5.0-Qwen2-1.5B
    positive_prompts:
      - "You are a conversationalist, engage in natural, flowing conversations on a wide range of topics, from current events to personal interests."
    negative_prompts:
      - "code"
      - "algorithm"
      - "programming"
    residual_scale: 0.1

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer, pipeline
import torch

model = "djuna/Qwen2-4x1.5B-v2.5.1-B"

tokenizer = AutoTokenizer.from_pretrained(model)
generator = 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 = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = generator(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])