MagnusIntellectus-12B-v1
How pleasant, the rocks appear to have made a decent conglomerate. A-.
MagnusIntellectus is a merge of the following models using LazyMergekit:
𧩠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
π» 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
- 183
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
Merge model
this model
Spaces using GalrionSoftworks/MagnusIntellectus-12B-v1 4
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard44.210
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard33.260
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.140
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.590
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.180
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard26.900