metadata

tags:
  - merge
  - mergekit
  - gemma-2b
pipeline_tag: text-generation
language:
  - ar
  - en

Merge-Gemma-2b-Models

Merge-Gemma-2b-Models is a merge of the following models using LazyMergekit:

unsloth/gemma-2b

🧩 Configuration

models:
  - model: anakin87/gemma-2b-orpo
    # No parameters necessary for base model
  - model: unsloth/gemma-2b
    parameters:
      density: 0.53
      weight: 0.45
merge_method: dare_ties
base_model: anakin87/gemma-2b-orpo
parameters:
  int8_mask: true
dtype: bfloat16
random_seed: 0

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Ruqiya/Merge-Gemma-2b-Models"
messagesAr = [{"role": "user", "content": "ما هو الذكاء الاصطناعي؟"}]
messagesEn = [{"role": "user", "content": "What is artificial intelligence?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messagesAr, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

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"])