Qwen2-3x1.5B
Qwen2-3x1.5B 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
𧩠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:
- "chat"
- "summarize"
- "paraphrase"
- "list"
- "explain"
- "define"
- "analyze"
- "rephrase"
- "elaborate"
- "You are an assistant"
- "You are a summarization expert, condense lengthy documents, articles, and reports into brief, informative summaries."
- "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:
- "programming language"
- "JavaScript"
- "Python programming language"
- "Rust programming language"
- "C++ programming language"
- "GO programming language"
- "Ruby programming language"
- "Haskell programming language"
- "SQL query language"
- "CSS markup styling language"
- "code"
- "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."
- "You are a function caller, able to execute functions and handle JSON data."
negative_prompts:
- "explain"
- "describe"
- "define"
- source_model: M4-ai/Hercules-5.0-Qwen2-1.5B
positive_prompts:
- "characters"
- "scene"
- "roleplay"
- "erotic roleplay"
- "sexual fetish"
- "NSFW"
- "creative writing"
- "storytelling"
- "narration"
- "narrative setting"
- "narrative plot"
- "narrative exposition"
- "narrative theme"
- "narrative climax"
- "You are a content writer, create engaging articles, blog posts, and essays on topics ranging from technology to culture."
- "You are a storyteller, capable of creating narratives and roleplaying scenarios."
- "You are a creative writer, skilled in crafting stories and developing characters."
- "You are a narrative designer, able to create engaging and immersive storylines."
- "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"
- "summarize"
- "paraphrase"
- "list"
- "explain"
- "define"
- "analyze"
- "rephrase"
- "elaborate"
- "You are an assistant"
- "explain"
- "describe"
- "define"
shared_experts:
- source_model: M4-ai/Hercules-5.0-Qwen2-1.5B
positive_prompts:
- "conversationalist"
negative_prompts:
- "code"
- "algorithm"
- "programming"
residual_scale: 0.1
π» Usage
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer, pipeline
import torch
model = "djuna/Qwen2-3x1.5B"
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"])
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