Edit model card

MagnusIntellectus-12B-v1

image/png

How pleasant, the rocks appear to have made a decent conglomerate. A-.

MagnusIntellectus is a merge of the following models using LazyMergekit:

🧩 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

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "GalrionSoftworks/MagnusIntellectus-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. 21.55
IFEval (0-Shot) 44.21
BBH (3-Shot) 33.26
MATH Lvl 5 (4-Shot) 5.14
GPQA (0-shot) 4.59
MuSR (0-shot) 15.18
MMLU-PRO (5-shot) 26.90
Downloads last month
190
Safetensors
Model size
12.2B params
Tensor type
BF16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for GalrionSoftworks/MagnusIntellectus-12B-v1

Spaces using GalrionSoftworks/MagnusIntellectus-12B-v1 4

Evaluation results