models:
  - model: aetherwiing/MN-12B-Starcannon-v3
    parameters:
      density: 0.3
      weight: 0.75
  - model: Sao10K/MN-12B-Lyra-v1
    parameters:
      density: 0.7
      weight: 0.25

merge_method: ties
base_model: aetherwiing/MN-12B-Starcannon-v3
parameters:
  normalize: true
dtype: bfloat16

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "GalrionSoftworks/MN-LooseCannon-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"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	21.78
IFEval (0-Shot)	54.18
BBH (3-Shot)	29.98
MATH Lvl 5 (4-Shot)	6.50
GPQA (0-shot)	4.70
MuSR (0-shot)	10.96
MMLU-PRO (5-shot)	24.40