MN-LooseCannon-12B-v1
MN-LooseCannon-12B-v1 is a merge of the following models using LazyMergekit:
🧩 Configuration
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
!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 |