slices:
  - sources:
      - model: arcee-ai/Llama-3.1-SuperNova-Lite
        layer_range: [0, 32]
      - model: DreadPoor/Heart_Stolen-8B-Model_Stock
        layer_range: [0, 32]
      - model: Dampfinchen/Llama-3.1-8B-Ultra-Instruct
        layer_range: [0, 32]
merge_method: model_stock
base_model: arcee-ai/Llama-3.1-SuperNova-Lite
dtype: bfloat16

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Youlln/1PARAMMYL-8B-ModelStock"
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.	26.02
IFEval (0-Shot)	53.71
BBH (3-Shot)	31.80
MATH Lvl 5 (4-Shot)	13.14
GPQA (0-shot)	9.84
MuSR (0-shot)	14.28
MMLU-PRO (5-shot)	33.34