README.md

metadata

base_model:
  - google/gemma-2b-it
  - google/codegemma-2b
license: apache-2.0
tags:
  - moe
  - frankenmoe
  - merge
  - mergekit
  - google/gemma-2b-it
  - google/codegemma-2b

gemma-2x2b

gemma-2x2b is a Mixture of Experts (MoE) made with the following models using Mergekit:

• google/gemma-2b-it
• google/codegemma-2b

🧩 Configuration

experts:
- positive_prompts:
  - chat
  source_model: google/gemma-2b-it
- positive_prompts:
  - code
  source_model: google/codegemma-2b
experts_per_token: 2
gate_mode: hidden

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mgv99/gemma-2x2b"

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"])