README.md

metadata

base_model:
  - UsernameJustAnother/Nemo-12B-Marlin-v5
  - anthracite-org/magnum-12b-v2
tags:
  - merge
  - mergekit
  - lazymergekit
  - UsernameJustAnother/Nemo-12B-Marlin-v5
  - anthracite-org/magnum-12b-v2

Margnum-12B-v1

Margnum-12B-v1 is a merge of the following models using LazyMergekit:

• UsernameJustAnother/Nemo-12B-Marlin-v5
• anthracite-org/magnum-12b-v2

🧩 Configuration

models:
  - model: UsernameJustAnother/Nemo-12B-Marlin-v5
    parameters:
      density: 0.4
      weight: 0.70
  - model: anthracite-org/magnum-12b-v2
    parameters:
      density: 0.6
      weight: 0.30

merge_method: ties
base_model: UsernameJustAnother/Nemo-12B-Marlin-v5
parameters:
  normalize: true
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "GalrionSoftworks/Margnum-12B-v1"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, 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"])