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DreadMix

DreadMix is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
  - model: DreadPoor/Aurora_faustus-8B-LORABLATED_ALT
  - model: DreadPoor/Eunoia_Vespera-8B-LINEAR
    parameters:
      density: 0.53
      weight: 0.55
  - model: DreadPoor/Promissum_Mane-8B-LINEAR-lorablated
    parameters:
      density: 0.53
      weight: 0.45
merge_method: dare_ties
base_model: DreadPoor/Aurora_faustus-8B-LORABLATED_ALT
parameters:
  int8_mask: true
dtype: bfloat16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "BoltMonkey/DreadMix"
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. 28.46
IFEval (0-Shot) 70.95
BBH (3-Shot) 34.85
MATH Lvl 5 (4-Shot) 13.75
GPQA (0-shot) 6.60
MuSR (0-shot) 13.62
MMLU-PRO (5-shot) 31.00
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